Mathematics Faculty: Publications since January 2017
List all publications in the database. :chronological combined bibtex listing:
Agarwal, Pankaj K.
 Agarwal, PK; Kyle, FOX; Salzman, O, An efficient algorithm for computing highquality paths amid polygonal obstacles,
Acm Transactions on Algorithms, vol. 14 no. 4
(August, 2018) [doi] [abs]
 Agarwal, PK; Kaplan, H; Sharir, M, Union of hypercubes and 3D minkowski sums with random sizes,
Leibniz International Proceedings in Informatics, Lipics, vol. 107
(July, 2018), ISBN 9783959770767 [doi] [abs]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Rangemax queries on uncertain data,
Journal of Computer and System Sciences, vol. 94
(June, 2018),
pp. 118134 [doi] [abs]
 Agarwal, PK; Arge, L; Staals, F, Improved dynamic geodesic nearest neighbor searching in a simple polygon,
Leibniz International Proceedings in Informatics, Lipics, vol. 99
(June, 2018),
pp. 41414 [doi] [abs]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Computing shortest paths in the plane with removable obstacles,
Leibniz International Proceedings in Informatics, Lipics, vol. 101
(June, 2018),
pp. 51515, ISBN 9783959770682 [doi] [abs]
 Agarwal, PK; Fox, K; Munagala, K; Nath, A; Pan, J; Taylor, E, Subtrajectory clustering: Models and algorithms,
Proceedings of the Acm Sigact Sigmod Sigart Symposium on Principles of Database Systems
(May, 2018),
pp. 7587, ISBN 9781450347068 [doi] [abs]
 Agarwal, PK; Fox, K; Nath, A; Sidiropoulos, A; Wang, Y, Computing the GromovHausdorff Distance for Metric Trees,
Acm Transactions on Algorithms, vol. 14 no. 2
(April, 2018),
pp. 120 [doi]
 Agarwal, PK; Fox, K; Nath, A, Maintaining reeb graphs of triangulated 2manifolds,
Leibniz International Proceedings in Informatics, Lipics, vol. 93
(January, 2018), ISBN 9783959770552 [doi] [abs]
 Rav, M; Lowe, A; Agarwal, PK, Flood Risk Analysis on Terrains,
GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, vol. 2017November
(November, 2017), ISBN 9781450354905 [doi] [abs]
 Agarwal, PK; HarPeled, S; Suri, S; Yıldız, H; Zhang, W, Convex Hulls Under Uncertainty,
Algorithmica, vol. 79 no. 2
(October, 2017),
pp. 340367 [doi]
 Agarwal, PK; Rubin, N; Sharir, M, Approximate nearest neighbor search amid higherdimensional flats,
Leibniz International Proceedings in Informatics, Lipics, vol. 87
(September, 2017), ISBN 9783959770491 [doi] [abs]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Efficient algorithms for kregret minimizing sets,
Leibniz International Proceedings in Informatics, Lipics, vol. 75
(August, 2017), ISBN 9783959770361 [doi] [abs]
 Agarwal, PK; Fox, K; Panigrahi, D; Varadarajan, KR; Xiao, A, Faster algorithms for the geometric transportation problem,
Leibniz International Proceedings in Informatics, Lipics, vol. 77
(June, 2017),
pp. 71716, ISBN 9783959770385 [doi] [abs]
 Wu, Y; Agarwal, PK; Li, C; Yang, J; Yu, C, Computational Fact Checking through Query Perturbations,
Acm Transactions on Database Systems, vol. 42 no. 1
(January, 2017),
pp. 141 [doi]
 Wu, Y; Gao, J; Agarwal, PK; Yang, J, Finding diverse, highvalue representatives on a surface of answers,
Proceedings of the Vldb Endowment, vol. 10 no. 7
(January, 2017),
pp. 793804 [abs]
 Garg, N; Sadiq, M; Agarwal, P, GOASREP: Goal oriented approach for software requirements elicitation and prioritization using analytic hierarchy process,
Advances in Intelligent Systems and Computing, vol. 516
(January, 2017),
pp. 281287, ISBN 9789811031557 [doi] [abs]
Arlotto, Alessandro
 Arlotto, A; Wei, Y; Xie, X, An adaptive O(log n)optimal policy for the online selection of a monotone subsequence from a random sample,
Random Structures & Algorithms, vol. 52 no. 1
(January, 2018),
pp. 4153, Wiley [doi] [abs]
 Arlotto, A; Xie, X, Logarithmic regret in the dynamic and stochastic knapsack problem.,
Corr, vol. abs/1809.02016
(2018)
 Arlotto, A; Frazelle, AE; Wei, Y, Strategic open routing in service networks,
Management Science
(2018), INFORMS
 Arlotto, A; Steele, JM, A central limit theorem for costs in Bulinskaya’s inventory management problem when deliveries face delays,
Methodology and Computing in Applied Probability, vol. 20 no. 3
(2018),
pp. 839854 [doi] [abs]
 Arlotto, A; Gurvich, I, Uniformly bounded regret in the multisecretary problem
(October, 2017) [abs]
Autry, Eric A.
 Autry, EA; Bayliss, A; Volpert, VA, Biological control with nonlocal interactions,
Mathematical Biosciences, vol. 301
(July, 2018),
pp. 129146 [doi]
 Autry, EA; Bayliss, A; Volpert, VA, Traveling waves in a nonlocal, piecewise linear reaction–diffusion population model,
Nonlinearity, vol. 30 no. 8
(August, 2017),
pp. 33043331 [doi]
Bendich, Paul L
 Garagić, D; Peskoe, J; Liu, F; Claffey, MS; Bendich, P; Hineman, J; Borggren, N; Harer, J; Zulch, P; Rhodes, BJ, Upstream fusion of multiple sensing modalities using machine learning and topological analysis: An initial exploration,
Ieee Aerospace Conference Proceedings, vol. 2018March
(June, 2018),
pp. 18, ISBN 9781538620144 [doi] [abs]
 Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J, Geometric CrossModal Comparison of Heterogeneous Sensor Data,
Proceedings of the 39th Ieee Aerospace Conference
(March, 2018) [abs]
Bertozzi, Andrea L
 J. B. Greer and A. L. Bertozzi, H1 solutions of a class of fourth order nonlinear equations for image processing,
Discrete And Continuous Dynamical Systems, vol. 10 no. 12
(2004),
pp. 349  366
Bray, Hubert
 Bray, H; Roesch, H, Proof of a Null Geometry Penrose Conjecture,
Notices of the American Mathematical Society., vol. 65
(February, 2018), American Mathematical Society
Bryant, Robert
(search)
 Bryant, R; Huang, L; Mo, X, On Finsler surfaces of constant flag curvature with a Killing field,
Journal of Geometry and Physics, vol. 116
(June, 2017),
pp. 345357 [doi]
Calderbank, Robert
 Thompson, A; Calderbank, R, Sparse nearequiangular tight frames with applications in full duplex wireless communication,
2017 Ieee Global Conference on Signal and Information Processing, Globalsip 2017 Proceedings, vol. 2018January
(March, 2018),
pp. 868872, ISBN 9781509059904 [doi] [abs]
 Mappouras, G; Vahid, A; Calderbank, R; Hower, DR; Sorin, DJ, Jenga: Efficient fault tolerance for stacked DRAM,
Proceedings  35th IEEE International Conference on Computer Design, ICCD 2017
(November, 2017),
pp. 361368, ISBN 9781538622544 [doi] [abs]
 Kadhe, S; Calderbank, R, Rate optimal binary linear locally repairable codes with small availability,
Ieee International Symposium on Information Theory Proceedings
(August, 2017),
pp. 166170, ISBN 9781509040964 [doi] [abs]
 Michelusi, N; Nokleby, M; Mitra, U; Calderbank, R, Multiscale spectrum sensing in smallcell mmwave cognitive wireless networks,
Ieee International Conference on Communications
(July, 2017), ISBN 9781467389990 [doi] [abs]
 CnaanOn, I; Harms, A; Krolik, JL; Calderbank, AR, Runlength limited codes for backscatter communication,
2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp)
(June, 2017),
pp. 61106114, ISBN 9781509041176 [doi] [abs]
 Wang, L; Chen, M; Rodrigues, M; Wilcox, D; Calderbank, R; Carin, L, InformationTheoretic Compressive Measurement Design.,
Ieee Transactions on Pattern Analysis and Machine Intelligence, vol. 39 no. 6
(June, 2017),
pp. 11501164 [doi] [abs]
 Campbell, K; Carpenter, KLH; Espinosa, S; Hashemi, J; Qiu, Q; Tepper, M; Calderbank, R; Sapiro, G; Egger, HL; Baker, JP; Dawson, G, Use of a Digital Modified Checklist for Autism in Toddlers  Revised with Followup to Improve Quality of Screening for Autism.,
The Journal of Pediatrics, vol. 183
(April, 2017),
pp. 133139.e1 [doi] [abs]
 Hadani, R; Rakib, S; Tsatsanis, M; Monk, A; Goldsmith, AJ; Molisch, AF; Calderbank, R, Orthogonal Time Frequency Space Modulation,
2017 Ieee Wireless Communications and Networking Conference (Wcnc)
(March, 2017), IEEE, ISBN 9781509041831 [doi] [abs]
Cheng, Cheng
 Cheng, C; Jiang, Y; Sun, Q, Spatially distributed sampling and reconstruction,
Applied and Computational Harmonic Analysis
(August, 2017) [doi]
 Li, L; Cheng, C; Han, D; Sun, Q; Shi, G, Phase Retrieval From MultipleWindow ShortTime Fourier Measurements,
Ieee Signal Processing Letters, vol. 24 no. 4
(April, 2017),
pp. 372376 [doi]
Cheng, Xiuyuan
 Cheng, X; Rachh, M; Steinerberger, S, On the diffusion geometry of graph laplacians and applications,
Applied and Computational Harmonic Analysis
(April, 2018) [doi]
 Cheng, X; Mishne, G; Steinerberger, S, The geometry of nodal sets and outlier detection,
Journal of Number Theory, vol. 185
(April, 2018),
pp. 4864 [doi]
 Qiu, Q; Cheng, X; Calderbank, AR; Sapiro, G, DCFNet: Deep Neural Network with Decomposed Convolutional Filters., edited by Dy, JG; Krause, A,
Icml, vol. 80
(2018),
pp. 41954204, JMLR.org
 Lu, J; Lu, Y; Wang, X; Li, X; Linderman, GC; Wu, C; Cheng, X; Mu, L; Zhang, H; Liu, J; Su, M; Zhao, H; Spatz, ES; Spertus, JA; Masoudi, FA; Krumholz, HM; Jiang, L, Prevalence, awareness, treatment, and control of hypertension in China: data from 1·7 million adults in a populationbased screening study (China PEACE Million Persons Project),
Lancet (London, England), vol. 390 no. 10112
(December, 2017),
pp. 25492558 [doi]
Dasgupta, Samit
 Dasgupta, S; Kakde, M; Ventullo, K, On the GrossStark Conjecture,
Annals of Mathematics, vol. 188 no. 3
(November, 2018),
pp. 833870 [doi] [abs]
 Dasgupta, S; Voight, J, Sylvester’s problem and mock Heegner points,
Proceedings of the American Mathematical Society, vol. 146 no. 8
(March, 2018),
pp. 32573273 [doi]
 Dasgupta, S; Spieß, M, Partial zeta values, Gross's tower of fields conjecture, and GrossStark units,
Journal of the European Mathematical Society, vol. 20 no. 11
(January, 2018),
pp. 26432683 [doi] [abs]
Daubechies, Ingrid
 Gao, T; Yapuncich, GS; Daubechies, I; Mukherjee, S; Boyer, DM, Development and Assessment of Fully Automated and Globally Transitive Geometric Morphometric Methods, With Application to a Biological Comparative Dataset With High Interspecific Variation.,
Anatomical Record (Hoboken, N.J. : 2007), vol. 301 no. 4
(April, 2018),
pp. 636658 [doi] [abs]
 Xu, J; Yang, H; Daubechies, I, Recursive diffeomorphismbased regression for shape functions,
Siam Journal on Mathematical Analysis, vol. 50 no. 1
(January, 2018),
pp. 532 [doi] [abs]
 Alaifari, R; Daubechies, I; Grohs, P; Yin, R, Stable Phase Retrieval in Infinite Dimensions,
Foundations of Computational Mathematics
(January, 2018) [doi] [abs]
 Alaifari, R; Daubechies, I; Grohs, P; Thakur, G, Reconstructing RealValued Functions from Unsigned Coefficients with Respect to Wavelet and Other Frames,
Journal of Fourier Analysis and Applications, vol. 23 no. 6
(December, 2017),
pp. 14801494 [doi]
 Deligiannis, N; Mota, JFC; Cornelis, B; Rodrigues, MRD; Daubechies, I, MultiModal Dictionary Learning for Image Separation With Application in Art Investigation.,
Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society, vol. 26 no. 2
(February, 2017),
pp. 751764 [doi] [abs]
 Cornelis, B; Yang, H; Goodfriend, A; Ocon, N; Lu, J; Daubechies, I, Removal of Canvas Patterns in Digital Acquisitions of Paintings.,
Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society, vol. 26 no. 1
(January, 2017),
pp. 160171 [doi] [abs]
 Voronin, S; Daubechies, I, An iteratively reweighted least squares algorithm for sparse regularization,
in Contemporary Mathematics, vol. 693
(January, 2017),
pp. 391411 [doi] [abs]
 Yin, R; Gao, T; Lu, YM; Daubechies, I, A Tale of Two Bases: LocalNonlocal Regularization on Image Patches with Convolution Framelets,
Siam Journal on Imaging Sciences, vol. 10 no. 2
(January, 2017),
pp. 711750 [doi]
 Fodor, G; Cornelis, B; Yin, R; Dooms, A; Daubechies, I, Cradle Removal in XRay Images of Panel Paintings,
Image Processing On Line, vol. 7
(2017),
pp. 2342 [doi]
Dolbow, John E.
 Peco, C; Liu, Y; Rhea, C; Dolbow, JE, Models and simulations of surfactantdriven fracture in particle rafts,
International Journal of Solids and Structures, vol. 156157
(January, 2019),
pp. 194209 [doi] [abs]
 Zhang, Z; Jiang, W; Dolbow, JE; Spencer, BW, A modified momentfitted integration scheme for XFEM applications with historydependent material data,
Computational Mechanics, vol. 62 no. 2
(August, 2018),
pp. 233252 [doi] [abs]
 Peco, C; Chen, W; Liu, Y; Bandi, MM; Dolbow, JE; Fried, E, Influence of surface tension in the surfactantdriven fracture of closelypacked particulate monolayers.,
Soft Matter, vol. 13 no. 35
(September, 2017),
pp. 58325841 [doi] [abs]
 Zhang, Z; Dolbow, JE, Remeshing strategies for large deformation problems with frictional contact and nearly incompressible materials,
International Journal for Numerical Methods in Engineering, vol. 109 no. 9
(March, 2017),
pp. 12891314 [doi]
 Stershic, AJ; Dolbow, JE; Moës, N, The Thick LevelSet model for dynamic fragmentation,
Engineering Fracture Mechanics, vol. 172
(March, 2017),
pp. 3960 [doi]
Dunson, David B.
(search)
 Srivastava, S; Li, C; Dunson, DB, Scalable Bayes via barycenter in Wasserstein space,
Journal of Machine Learning Research, vol. 19
(August, 2018),
pp. 135 [abs]
 van den Boom, W; Mao, C; Schroeder, RA; Dunson, DB, Extremaweighted feature extraction for functional data.,
Bioinformatics (Oxford, England), vol. 34 no. 14
(July, 2018),
pp. 24572464 [doi] [abs]
 Shterev, ID; Dunson, DB; Chan, C; Sempowski, GD, Bayesian MultiPlate HighThroughput Screening of Compounds.,
Scientific Reports, vol. 8 no. 1
(June, 2018),
pp. 9551 [doi] [abs]
 Johndrow, JE; Lum, K; Dunson, DB, Theoretical limits of microclustering for record linkage.,
Biometrika, vol. 105 no. 2
(June, 2018),
pp. 431446 [doi] [abs]
 Miller, JW; Dunson, DB, Robust Bayesian inference via coarsening,
Journal of the American Statistical Association
(May, 2018),
pp. 131 [doi]
 Zhang, Z; Descoteaux, M; Zhang, J; Girard, G; Chamberland, M; Dunson, D; Srivastava, A; Zhu, H, Mapping populationbased structural connectomes.,
Neuroimage, vol. 172
(May, 2018),
pp. 130145 [doi] [abs]
 van den Boom, W; Schroeder, RA; Manning, MW; Setji, TL; Fiestan, GO; Dunson, DB, Effect of A1C and Glucose on Postoperative Mortality in Noncardiac and Cardiac Surgeries.,
Diabetes Care, vol. 41 no. 4
(April, 2018),
pp. 782788 [doi] [abs]
 Sarkar, A; Chabout, J; Macopson, JJ; Jarvis, ED; Dunson, DB, Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax,
Journal of the American Statistical Association
(January, 2018),
pp. 113 [doi] [abs]
 Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian Conditional Density Filtering,
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America
(January, 2018) [doi]
 Dunson, DB, Statistics in the big data era: Failures of the machine,
Statistics & Probability Letters
(January, 2018) [doi] [abs]
 Bertrán, MA; Martínez, NL; Wang, Y; Dunson, D; Sapiro, G; Ringach, D, Active learning of cortical connectivity from twophoton imaging data.,
Plos One, vol. 13 no. 5
(January, 2018),
pp. e0196527 [doi] [abs]
 Minsker, S; Srivastava, S; Lin, L; Dunson, DB, Robust and scalable bayes via a median of subset posterior measures,
Journal of Machine Learning Research, vol. 18
(December, 2017),
pp. 140 [abs]
 Wheeler, MW; Dunson, DB; Herring, AH, Bayesian Local Extremum Splines.,
Biometrika, vol. 104 no. 4
(December, 2017),
pp. 939952, Oxford University Press (OUP) [abs]
 Shang, Y; Dunson, D; Song, JS, Exploiting Big Data in Logistics Risk Assessment via Bayesian Nonparametrics,
Operations Research, vol. 65 no. 6
(December, 2017),
pp. 15741588 [doi]
 Durante, D; Dunson, DB; Vogelstein, JT, Rejoinder: Nonparametric Bayes Modeling of Populations of Networks,
Journal of the American Statistical Association, vol. 112 no. 520
(October, 2017),
pp. 15471552 [doi]
 Durante, D; Dunson, DB; Vogelstein, JT, Nonparametric Bayes Modeling of Populations of Networks,
Journal of the American Statistical Association, vol. 112 no. 520
(October, 2017),
pp. 15161530 [doi] [abs]
 Reddy, A; Zhang, J; Davis, NS; Moffitt, AB; Love, CL; Waldrop, A; Leppa, S; Pasanen, A; Meriranta, L; KarjalainenLindsberg, ML; Nørgaard, P; Pedersen, M; Gang, AO; Høgdall, E; Heavican, TB; Lone, W; Iqbal, J; Qin, Q; Li, G; Kim, SY; Healy, J; Richards, KL; Fedoriw, Y; BernalMizrachi, L; Koff, JL; Staton, AD; Flowers, CR; Paltiel, O; Goldschmidt, N; Calaminici, M; Clear, A; Gribben, J; Nguyen, E; Czader, MB; Ondrejka, SL; Collie, A; Hsi, ED; Tse, E; AuYeung, RKH; Kwong, YL; Srivastava, G; Choi, WWL; Evens, AM; Pilichowska, M; Sengar, M; Reddy, N; Li, S; Chadburn, A; Gordon, LI; Jaffe, ES; Levy, S; Rempel, R; Tzeng, T; Happ, LE; Dave, T; Rajagopalan, D; Datta, J; Dunson, DB; Dave, SS, Genetic and Functional Drivers of Diffuse Large B Cell Lymphoma.,
Cell, vol. 171 no. 2
(October, 2017),
pp. 481494.e15 [doi] [abs]
 Li, C; Srivastava, S; Dunson, DB, Simple, scalable and accurate posterior interval estimation,
Biometrika, vol. 104 no. 3
(September, 2017),
pp. 665680 [doi] [abs]
 Lock, EF; Dunson, DB, Bayesian genome and epigenomewide association studies with gene level dependence.,
Biometrics, vol. 73 no. 3
(September, 2017),
pp. 10181028 [doi] [abs]
 Srivastava, S; Engelhardt, BE; Dunson, DB, Expandable factor analysis.,
Biometrika, vol. 104 no. 3
(September, 2017),
pp. 649663 [doi] [abs]
 Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian tensor regression,
Journal of Machine Learning Research, vol. 18
(August, 2017),
pp. 131 [abs]
 Schaich Borg, J; Srivastava, S; Lin, L; Heffner, J; Dunson, D; Dzirasa, K; de Lecea, L, Rat intersubjective decisions are encoded by frequencyspecific oscillatory contexts.,
Brain and Behavior, vol. 7 no. 6
(June, 2017),
pp. e00710 [doi] [abs]
 Zhu, B; Dunson, DB, Bayesian Functional Data Modeling for Heterogeneous Volatility,
Bayesian Analysis, vol. 12 no. 2
(June, 2017),
pp. 335350 [doi]
 Wang, L; Durante, D; Jung, RE; Dunson, DB, Bayesian networkresponse regression.,
Bioinformatics (Oxford, England), vol. 33 no. 12
(June, 2017),
pp. 18591866 [doi] [abs]
 Ovaskainen, O; Tikhonov, G; Norberg, A; Guillaume Blanchet, F; Duan, L; Dunson, D; Roslin, T; Abrego, N, How to make more out of community data? A conceptual framework and its implementation as models and software.,
Ecology Letters, vol. 20 no. 5
(May, 2017),
pp. 561576 [doi] [abs]
 Ovaskainen, O; Tikhonov, G; Dunson, D; Grøtan, V; Engen, S; Sæther, BE; Abrego, N, How are species interactions structured in speciesrich communities? A new method for analysing timeseries data.,
Proceedings of the Royal Society B: Biological Sciences, vol. 284 no. 1855
(May, 2017),
pp. 2017076820170768 [doi] [abs]
 Moffitt, AB; Ondrejka, SL; McKinney, M; Rempel, RE; Goodlad, JR; Teh, CH; Leppa, S; Mannisto, S; Kovanen, PE; Tse, E; AuYeung, RKH; Kwong, YL; Srivastava, G; Iqbal, J; Yu, J; Naresh, K; Villa, D; Gascoyne, RD; Said, J; Czader, MB; Chadburn, A; Richards, KL; Rajagopalan, D; Davis, NS; Smith, EC; Palus, BC; Tzeng, TJ; Healy, JA; Lugar, PL; Datta, J; Love, C; Levy, S; Dunson, DB; Zhuang, Y; Hsi, ED; Dave, SS, Enteropathyassociated T cell lymphoma subtypes are characterized by loss of function of SETD2.,
The Journal of Experimental Medicine, vol. 214 no. 5
(May, 2017),
pp. 13711386 [doi] [abs]
 Durante, D; Paganin, S; Scarpa, B; Dunson, DB, Bayesian modelling of networks in complex business intelligence problems,
Journal of the Royal Statistical Society. Series C, Applied Statistics, vol. 66 no. 3
(April, 2017),
pp. 555580 [doi]
 McKinney, M; Moffitt, AB; Gaulard, P; Travert, M; De Leval, L; Nicolae, A; Raffeld, M; Jaffe, ES; Pittaluga, S; Xi, L; Heavican, T; Iqbal, J; Belhadj, K; DelfauLarue, MH; Fataccioli, V; Czader, MB; Lossos, IS; ChapmanFredricks, JR; Richards, KL; Fedoriw, Y; Ondrejka, SL; Hsi, ED; Low, L; Weisenburger, D; Chan, WC; MehtaShah, N; Horwitz, S; BernalMizrachi, L; Flowers, CR; Beaven, AW; Parihar, M; Baseggio, L; Parrens, M; Moreau, A; Sujobert, P; Pilichowska, M; Evens, AM; Chadburn, A; AuYeung, RKH; Srivastava, G; Choi, WWL; Goodlad, JR; Aurer, I; BasicKinda, S; Gascoyne, RD; Davis, NS; Li, G; Zhang, J; Rajagopalan, D; Reddy, A; Love, C; Levy, S; Zhuang, Y; Datta, J; Dunson, DB; Davé, SS, The Genetic Basis of Hepatosplenic Tcell Lymphoma.,
Cancer Discovery, vol. 7 no. 4
(April, 2017),
pp. 369379 [doi] [abs]
 Tikhonov, G; Abrego, N; Dunson, D; Ovaskainen, O, Using joint species distribution models for evaluating how speciestospecies associations depend on the environmental context, edited by Warton, D,
Methods in Ecology and Evolution, vol. 8 no. 4
(April, 2017),
pp. 443452 [doi]
 Dunson, DB, Toward Automated Prior Choice,
Statistical Science, vol. 32 no. 1
(February, 2017),
pp. 4143 [doi]
 Abrego, N; Dunson, D; Halme, P; Salcedo, I; Ovaskainen, O, Woodinhabiting fungi with tight associations with other species have declined as a response to forest management,
Oikos, vol. 126 no. 2
(February, 2017) [doi]
 Johndrow, JE; Bhattacharya, A; Dunson, DB, TENSOR DECOMPOSITIONS AND SPARSE LOGLINEAR MODELS.,
The Annals of Statistics, vol. 45 no. 1
(January, 2017),
pp. 138 [doi] [abs]
 Lin, L; St Thomas, B; Zhu, H; Dunson, DB, Extrinsic local regression on manifoldvalued data.,
Journal of the American Statistical Association, vol. 112 no. 519
(January, 2017),
pp. 12611273 [doi] [abs]
 Durante, D; Dunson, DB; Vogelstein, JT, Nonparametric Bayes Modeling of Populations of Networks,
Journal of the American Statistical Association, vol. 112 no. 520
(2017),
pp. 15161530 [doi]
 Lin, L; Rao, V; Dunson, D, Bayesian nonparametric inference on the Stiefel manifold,
Statistica Sinica
(2017) [doi]
Durrett, Richard T.
 Ma, R; Durrett, R, A simple evolutionary game arising from the study of the role of igfII in pancreatic cancer,
The Annals of Applied Probability, vol. 28 no. 5
(October, 2018),
pp. 28962921 [doi] [abs]
 Wang, Z; Durrett, R, Extrapolating weak selection in evolutionary games.,
Journal of Mathematical Biology
(July, 2018) [doi] [abs]
 Talkington, A; Dantoin, C; Durrett, R, Ordinary Differential Equation Models for Adoptive Immunotherapy.,
Bulletin of Mathematical Biology, vol. 80 no. 5
(May, 2018),
pp. 10591083 [doi] [abs]
 Huo, R; Durrett, R, Latent voter model on locally treelike random graphs,
Stochastic Processes and Their Applications, vol. 128 no. 5
(May, 2018),
pp. 15901614 [doi]
 Beckman, E; Dinan, E; Durrett, R; Huo, R; Junge, M, Asymptotic behavior of the brownian frog model,
Electronic Journal of Probability, vol. 23
(January, 2018) [doi] [abs]
 Basak, A; Durrett, R; Foxall, E, Diffusion limit for the partner model at the critical value,
Electronic Journal of Probability, vol. 23
(January, 2018) [doi] [abs]
 Cristali, I; Ranjan, V; Steinberg, J; Beckman, E; Durrett, R; Junge, M; Nolen, J, Block size in geometric(P)biased permutations,
Electronic Communications in Probability, vol. 23
(January, 2018),
pp. 110 [doi] [abs]
 Lopatkin, AJ; Meredith, HR; Srimani, JK; Pfeiffer, C; Durrett, R; You, L, Persistence and reversal of plasmidmediated antibiotic resistance.,
Nature Communications, vol. 8 no. 1
(November, 2017),
pp. 1689 [doi] [abs]
 Gleeson, JP; Durrett, R, Temporal profiles of avalanches on networks.,
Nature Communications, vol. 8 no. 1
(October, 2017),
pp. 1227 [doi] [abs]
 Tomasetti, C; Durrett, R; Kimmel, M; Lambert, A; Parmigiani, G; Zauber, A; Vogelstein, B, Role of stemcell divisions in cancer risk,
Nature, vol. 548 no. 7666
(August, 2017),
pp. E13E14 [doi]
 Nanda, M; Durrett, R, Spatial evolutionary games with weak selection,
Proceedings of the National Academy of Sciences of the United States of America, vol. 114 no. 23
(June, 2017),
pp. 60466051 [doi]
 Bessonov, M; Durrett, R, Phase transitions for a planar quadratic contact process,
Advances in Applied Mathematics, vol. 87
(June, 2017),
pp. 82107 [doi]
Dym, Nadav
 Lazar, R; Dym, N; Kushinsky, Y; Huang, Z; Ju, T; Lipman, Y, Robust optimization for topological surface reconstruction,
Acm Transactions on Graphics, vol. 37 no. 4
(July, 2018),
pp. 110, Association for Computing Machinery (ACM) [doi] [abs]
 Dym, N; Maron, H; Lipman, Y, DS++,
Acm Transactions on Graphics, vol. 36 no. 6
(November, 2017),
pp. 114 [doi]
 Maron, H; Galun, M; Aigerman, N; Trope, M; Dym, N; Yumer, E; Kim, VG; Lipman, Y, Convolutional neural networks on surfaces via seamless toric covers,
Acm Transactions on Graphics, vol. 36 no. 4
(July, 2017),
pp. 110 [doi]
 Dym, N; Lipman, Y, Exact Recovery with Symmetries for Procrustes Matching,
Siam Journal on Optimization, vol. 27 no. 3
(January, 2017),
pp. 15131530 [doi]
 Dym, N; Lipman, Y; Slutsky, R, A Linear Variational Principle for Riemann Mapping and Discrete Conformality.,
Corr, vol. abs/1711.02221
(2017)
Fernandes de Oliveira, Goncalo M.
 Oliveira, G, Gerbes on G2 manifolds,
Journal of Geometry and Physics, vol. 114
(April, 2017),
pp. 570580 [doi]
Getz, Jayce R.
 Getz, J, Nonabelian Fourier transforms for spherical representations,
Pacific Journal of Mathematics, vol. 294 no. 2
(2018),
pp. 351373, Mathematical Sciences Publishers [doi] [abs]
Hahn, Heekyoung
 Hahn, H; Huh, J; Lim, E; Sohn, J, From partition identities to a combinatorial approach to explicit Satake inversions,
Annals of Combinatorics, vol. 22
(June, 2018),
pp. 543562, Springer Verlag [doi]
Hain, Richard
(search)
 Brown, F; Hain, R, Algebraic de Rham theory for weakly holomorphic modular forms of level one,
Algebra & Number Theory, vol. 12 no. 3
(2018),
pp. 723750 [doi]
 Hain, R, DeligneBeilinson Cohomology of Affine Groups,
in Hodge Theory and $L^2$analysis, edited by Ji, L
(July, 2015), International Press, ISBN 1571463518 [arXiv:1507.03144] [abs]
Harer, John
 Garagić, D; Peskoe, J; Liu, F; Claffey, MS; Bendich, P; Hineman, J; Borggren, N; Harer, J; Zulch, P; Rhodes, BJ, Upstream fusion of multiple sensing modalities using machine learning and topological analysis: An initial exploration,
Ieee Aerospace Conference Proceedings, vol. 2018March
(June, 2018),
pp. 18, ISBN 9781538620144 [doi] [abs]
 Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J, Geometric CrossModal Comparison of Heterogeneous Sensor Data,
Proceedings of the 39th Ieee Aerospace Conference
(March, 2018) [abs]
 Hughes, ME; Abruzzi, KC; Allada, R; Anafi, R; Arpat, AB; Asher, G; Baldi, P; de Bekker, C; BellPedersen, D; Blau, J; Brown, S; Ceriani, MF; Chen, Z; Chiu, JC; Cox, J; Crowell, AM; DeBruyne, JP; Dijk, DJ; DiTacchio, L; Doyle, FJ; Duffield, GE; Dunlap, JC; EckelMahan, K; Esser, KA; FitzGerald, GA; Forger, DB; Francey, LJ; Fu, YH; Gachon, F; Gatfield, D; de Goede, P; Golden, SS; Green, C; Harer, J; Harmer, S; Haspel, J; Hastings, MH; Herzel, H; Herzog, ED; Hoffmann, C; Hong, C; Hughey, JJ; Hurley, JM; de la Iglesia, HO; Johnson, C; Kay, SA; Koike, N; Kornacker, K; Kramer, A; Lamia, K; Leise, T; Lewis, SA; Li, J; Li, X; Liu, AC; Loros, JJ; Martino, TA; Menet, JS; Merrow, M; Millar, AJ; Mockler, T; Naef, F; Nagoshi, E; Nitabach, MN; Olmedo, M; Nusinow, DA; Ptáček, LJ; Rand, D; Reddy, AB; Robles, MS; Roenneberg, T; Rosbash, M; Ruben, MD; Rund, SSC; Sancar, A; SassoneCorsi, P; Sehgal, A; SherrillMix, S; Skene, DJ; Storch, KF; Takahashi, JS; Ueda, HR; Wang, H; Weitz, C; Westermark, PO; Wijnen, H; Xu, Y; Wu, G; Yoo, SH; Young, M; Zhang, EE; Zielinski, T; Hogenesch, JB, Guidelines for GenomeScale Analysis of Biological Rhythms.,
Journal of Biological Rhythms, vol. 32 no. 5
(October, 2017),
pp. 380393 [doi] [abs]
He, Siming
 He, S, Suppression of blowup in parabolic–parabolic Patlak–Keller–Segel via strictly monotone shear flows,
Nonlinearity, vol. 31 no. 8
(August, 2018),
pp. 36513688 [doi]
 He, S; Tadmor, E, Suppressing Chemotactic BlowUp Through a Fast Splitting Scenario on the Plane,
Archive for Rational Mechanics and Analysis
(January, 2018), Springer Nature America, Inc [doi] [abs]
 He, S; Tadmor, E, Global regularity of twodimensional flocking hydrodynamics,
Comptes Rendus Mathematique, vol. 355 no. 7
(July, 2017),
pp. 795805 [doi]
 Bedrossian, J; He, S, Suppression of BlowUp in PatlakKellerSegel Via Shear Flows,
Siam Journal on Mathematical Analysis, vol. 49 no. 6
(January, 2017),
pp. 47224766 [doi]
Herschlag, Gregory J.
 Cao, Y; Feng, Y; Ryser, MD; Zhu, K; Herschlag, G; Cao, C; Marusak, K; Zauscher, S; You, L, Programmable assembly of pressure sensors using patternforming bacteria.,
Nature Biotechnology, vol. 35 no. 11
(November, 2017),
pp. 10871093 [doi] [abs]
 Herschlag, G; Ravier, R; Mattingly, JC, Evaluating Partisan Gerrymandering in Wisconsin
(September, 2017) [abs]
Junge, Matthew S
 Johnson, T; Junge, M, Stochastic orders and the frog model,
Annales De L'Institut Henri Poincaré, Probabilités Et Statistiques, vol. 54 no. 2
(May, 2018),
pp. 10131030 [doi]
 Foxall, E; Hutchcroft, T; Junge, M, Coalescing random walk on unimodular graphs,
Electronic Communications in Probability, vol. 23
(January, 2018) [doi] [abs]
 Beckman, E; Dinan, E; Durrett, R; Huo, R; Junge, M, Asymptotic behavior of the brownian frog model,
Electronic Journal of Probability, vol. 23
(January, 2018) [doi] [abs]
 Cristali, I; Ranjan, V; Steinberg, J; Beckman, E; Durrett, R; Junge, M; Nolen, J, Block size in geometric(P)biased permutations,
Electronic Communications in Probability, vol. 23
(January, 2018) [doi] [abs]
 Hoffman, C; Johnson, T; Junge, M, Recurrence and transience for the frog model on trees,
The Annals of Probability, vol. 45 no. 5
(September, 2017),
pp. 28262854 [doi]
Kiselev, Alexander A.
 Do, T; Kiselev, A; Ryzhik, L; Tan, C, Global Regularity for the Fractional Euler Alignment System,
Archive for Rational Mechanics and Analysis, vol. 228 no. 1
(April, 2018),
pp. 137 [doi]
 Kiselev, A; Tan, C, Finite time blow up in the hyperbolic Boussinesq system,
Advances in Mathematics, vol. 325
(February, 2018),
pp. 3455 [doi] [abs]
 Choi, K; Hou, TY; Kiselev, A; Luo, G; Sverak, V; Yao, Y, On the FiniteTime Blowup of a OneDimensional Model for the ThreeDimensional Axisymmetric Euler Equations,
Communications on Pure and Applied Mathematics, vol. 70 no. 11
(November, 2017),
pp. 22182243 [doi]
 Kiselev, A; Yao, Y; Zlatoš, A, Local Regularity for the Modified SQG Patch Equation,
Communications on Pure and Applied Mathematics, vol. 70 no. 7
(July, 2017),
pp. 12531315 [doi]
Kovalsky, Shahar
 Aigerman, N; Kovalsky, SZ; Lipman, Y, Spherical orbifold tutte embeddings,
Acm Transactions on Graphics, vol. 36 no. 4
(July, 2017),
pp. 113 [doi]
 Shtengel, A; Poranne, R; SorkineHornung, O; Kovalsky, SZ; Lipman, Y, Geometric optimization via composite majorization,
Acm Transactions on Graphics, vol. 36 no. 4
(July, 2017),
pp. 111 [doi]
Layton, Anita T.
 Li, Q; McDonough, AA; Layton, HE; Layton, AT, Functional implications of sexual dimorphism of transporter patterns along the rat proximal tubule: modeling and analysis.,
American Journal of Physiology. Renal Physiology, vol. 315 no. 3
(September, 2018),
pp. F692F700 [doi] [abs]
 Wei, N; Gumz, ML; Layton, AT, Predicted effect of circadian clock modulation of NHE3 of a proximal tubule cell on sodium transport.,
American Journal of Physiology. Renal Physiology, vol. 315 no. 3
(September, 2018),
pp. F665F676 [doi] [abs]
 Layton, AT; Vallon, V, Renal tubular solute transport and oxygen consumption: insights from computational models.,
Current Opinion in Nephrology and Hypertension, vol. 27 no. 5
(September, 2018),
pp. 384389 [doi] [abs]
 Layton, AT, Sweet success? SGLT2 inhibitors and diabetes.,
American Journal of Physiology. Renal Physiology, vol. 314 no. 6
(June, 2018),
pp. F1034F1035 [doi]
 Leete, J; Gurley, S; Layton, AT, Modeling sex differences in the renin angiotensin system and the efficacy of antihypertensive therapies,
Computers & Chemical Engineering, vol. 112
(April, 2018),
pp. 253264 [doi] [abs]
 Layton, AT; Edwards, A; Vallon, V, Renal potassium handling in rats with subtotal nephrectomy: modeling and analysis.,
American Journal of Physiology. Renal Physiology, vol. 314 no. 4
(April, 2018),
pp. F643F657 [doi] [abs]
 Layton, AT; Vallon, V, Cardiovascular benefits of SGLT2 inhibition in diabetes and chronic kidney diseases.,
Acta Physiologica, vol. 222 no. 4
(April, 2018),
pp. e13050 [doi]
 Wei, N; Layton, AT, Theoretical assessment of the Ca2+ oscillations in the afferent arteriole smooth muscle cell of the rat kidney,
International Journal of Biomathematics, vol. 11 no. 03
(April, 2018),
pp. 18500431850043 [doi]
 Edwards, A; Layton, AT, Cell Volume Regulation in the Proximal Tubule of Rat Kidney : Proximal Tubule Cell Volume Regulation.,
Bulletin of Mathematical Biology, vol. 79 no. 11
(November, 2017),
pp. 25122533 [doi] [abs]
 Burt, T; Noveck, RJ; MacLeod, DB; Layton, AT; Rowland, M; Lappin, G, IntraTarget Microdosing (ITM): A Novel Drug Development Approach Aimed at Enabling Safer and Earlier Translation of Biological Insights Into Human Testing.,
Clinical and Translational Science, vol. 10 no. 5
(September, 2017),
pp. 337350 [doi]
 Sgouralis, I; Evans, RG; Layton, AT, Renal medullary and urinary oxygen tension during cardiopulmonary bypass in the rat.,
Mathematical Medicine and Biology : a Journal of the Ima, vol. 34 no. 3
(September, 2017),
pp. 313333 [doi] [abs]
 Chen, Y; Sullivan, JC; Edwards, A; Layton, AT, Sexspecific computational models of the spontaneously hypertensive rat kidneys: factors affecting nitric oxide bioavailability.,
American Journal of Physiology. Renal Physiology, vol. 313 no. 2
(August, 2017),
pp. F174F183 [doi] [abs]
 Layton, AT; Edwards, A; Vallon, V, Adaptive changes in GFR, tubular morphology, and transport in subtotal nephrectomized kidneys: modeling and analysis.,
American Journal of Physiology. Renal Physiology, vol. 313 no. 2
(August, 2017),
pp. F199F209 [doi] [abs]
 Chen, Y; Fry, BC; Layton, AT, Modeling glucose metabolism and lactate production in the kidney.,
Mathematical Biosciences, vol. 289
(July, 2017),
pp. 116129 [doi] [abs]
 Layton, AT, A new microscope for the kidney: mathematics.,
American Journal of Physiology. Renal Physiology, vol. 312 no. 4
(April, 2017),
pp. F671F672 [doi]
 Jiang, T; Li, Y; Layton, AT; Wang, W; Sun, Y; Li, M; Zhou, H; Yang, B, Generation and phenotypic analysis of mice lacking all urea transporters.,
Kidney International, vol. 91 no. 2
(February, 2017),
pp. 338351 [doi] [abs]
Layton, Harold
 Li, Q; McDonough, AA; Layton, HE; Layton, AT, Functional implications of sexual dimorphism of transporter patterns along the rat proximal tubule: modeling and analysis.,
American Journal of Physiology. Renal Physiology, vol. 315 no. 3
(September, 2018),
pp. F692F700 [doi] [abs]
Levine, Adam S.
 Baldwin, JA; Levine, AS; Sarkar, S, Khovanov homology and knot Floer homology for pointed links,
Journal of Knot Theory and Its Ramifications, vol. 26 no. 02
(February, 2017),
pp. 17400041740004 [doi]
Li, Lei
 Li, L; Liu, JG; Lu, J, Fractional Stochastic Differential Equations Satisfying FluctuationDissipation Theorem,
Journal of Statistical Physics, vol. 169 no. 2
(October, 2017),
pp. 316339 [doi]
 Li, L; Xu, X; Spagnolie, SE, A Locally GradientPreserving Reinitialization for Level Set Functions,
Journal of Scientific Computing, vol. 71 no. 1
(April, 2017),
pp. 274302 [doi]
 Li, L; Liu, JG, A note on deconvolution with completely monotone sequences and discrete fractional calculus,
Quarterly of Applied Mathematics
(2017),
pp. 11 [doi]
Li, Yingzhou
 Li, Y; Ying, L, Distributedmemory hierarchical interpolative factorization,
Research in the Mathematical Sciences, vol. 4 no. 1
(December, 2017) [doi]
 Zhang, L; Sun, L; Guan, Z; Lee, S; Li, Y; Deng, HD; Li, Y; Ahlborg, NL; Boloor, M; Melosh, NA; Chueh, WC, Quantifying and Elucidating Thermally Enhanced Minority Carrier Diffusion Length Using RadiusControlled Rutile Nanowires.,
Nano Letters, vol. 17 no. 9
(September, 2017),
pp. 52645272 [doi] [abs]
 Li, Y; Yang, H; Ying, L, Multidimensional butterfly factorization,
Applied and Computational Harmonic Analysis
(April, 2017) [doi]
 Li, Y; Yang, H, Interpolative Butterfly Factorization,
Siam Journal on Scientific Computing, vol. 39 no. 2
(January, 2017),
pp. A503A531 [doi]
Liu, JianGuo
 Feng, Y; Li, L; Liu, JG; Xu, X, A note on onedimensional time fractional ODEs,
Applied Mathematics Letters, vol. 83
(September, 2018),
pp. 8794 [doi]
 Li, L; Liu, JG; Wang, L, Cauchy problems for Keller–Segel type time–space fractional diffusion equation,
Journal of Differential Equations, vol. 265 no. 3
(August, 2018),
pp. 10441096 [doi] [abs]
 Liu, JG; Tang, M; Wang, L; Zhou, Z, An accurate front capturing scheme for tumor growth models with a free boundary limit,
Journal of Computational Physics, vol. 364
(July, 2018),
pp. 7394 [doi] [abs]
 Chen, K; Li, Q; Liu, JG, Online learning in optical tomography: a stochastic approach,
Inverse Problems, vol. 34 no. 7
(July, 2018),
pp. 075010075010 [doi]
 Gao, Y; Liu, JG; Lu, XY; Xu, X, Maximal monotone operator theory and its applications to thin film equation in epitaxial growth on vicinal surface,
Calculus of Variations and Partial Differential Equations, vol. 57 no. 2
(April, 2018) [doi]
 Liu, JG; Xu, X, Partial regularity of weak solutions to a PDE system with cubic nonlinearity,
Journal of Differential Equations, vol. 264 no. 8
(April, 2018),
pp. 54895526 [doi] [abs]
 Li, L; Liu, JG, p Euler equations and p Navier–Stokes equations,
Journal of Differential Equations, vol. 264 no. 7
(April, 2018),
pp. 47074748 [doi] [abs]
 Feng, Y; Li, L; Liu, JG, Semigroups of stochastic gradient descent and online principal component analysis: Properties and diffusion approximations,
Communications in Mathematical Sciences, vol. 16 no. 3
(January, 2018),
pp. 777789 [doi] [abs]
 Li, L; Liu, JG, Some compactness criteria for weak solutions of time fractional pdes,
Siam Journal on Mathematical Analysis, vol. 50 no. 4
(January, 2018),
pp. 39633995, SIAM PUBLICATIONS [doi] [abs]
 Gao, Y; Li, L; Liu, JG, A Dispersive Regularization for the Modified CamassaHolm Equation,
Siam Journal on Mathematical Analysis, vol. 50 no. 3
(January, 2018),
pp. 28072838 [doi]
 Li, L; Liu, JG, A Generalized Definition of Caputo Derivatives and Its Application to Fractional ODEs,
Siam Journal on Mathematical Analysis, vol. 50 no. 3
(January, 2018),
pp. 28672900 [doi]
 Li, L; Liu, JG; Lu, J, Fractional Stochastic Differential Equations Satisfying FluctuationDissipation Theorem,
Journal of Statistical Physics, vol. 169 no. 2
(October, 2017),
pp. 316339 [doi]
 Liu, JG; Wang, L; Zhou, Z, Positivitypreserving and asymptotic preserving method for 2D KellerSegal equations,
Mathematics of Computation, vol. 87 no. 311
(September, 2017),
pp. 11651189 [doi]
 Coquel, F; Jin, S; Liu, JG; Wang, L, Entropic subcell shock capturing schemes via JinXin relaxation and Glimm front sampling for scalar conservation laws,
Mathematics of Computation, vol. 87 no. 311
(September, 2017),
pp. 10831126 [doi]
 Liu, JG; Ma, Z; Zhou, Z, Explicit and Implicit TVD Schemes for Conservation Laws with Caputo Derivatives,
Journal of Scientific Computing, vol. 72 no. 1
(July, 2017),
pp. 291313 [doi]
 Gao, Y; Ji, H; Liu, JG; Witelski, TP, Global existence of solutions to a tear film model with locally elevated evaporation rates,
Physica D: Nonlinear Phenomena, vol. 350
(July, 2017),
pp. 1325 [doi]
 Gao, Y; Liu, JG; Lu, J, Continuum Limit of a Mesoscopic Model with Elasticity of Step Motion on Vicinal Surfaces,
Journal of Nonlinear Science, vol. 27 no. 3
(June, 2017),
pp. 873926 [doi]
 Degond, P; Liu, JG; Pego, RL, Coagulation–Fragmentation Model for Animal GroupSize Statistics,
Journal of Nonlinear Science, vol. 27 no. 2
(April, 2017),
pp. 379424 [doi]
 Huang, H; Liu, JG, Error estimate of a random particle blob method for the KellerSegel equation,
Mathematics of Computation, vol. 86 no. 308
(February, 2017),
pp. 27192744 [doi]
 Liu, JG; Wang, J, Global existence for a thin film equation with subcritical mass,
Discrete and Continuous Dynamical Systems Series B, vol. 22 no. 4
(February, 2017),
pp. 14611492 [doi]
 Gao, Y; Liu, JG; Lu, J, Weak Solution of a Continuum Model For Vicinal Surface in The AttachmentDetachmentLimited Regime,
Siam Journal on Mathematical Analysis, vol. 49 no. 3
(January, 2017),
pp. 17051731 [doi]
 Liu, JG; Wang, J, A generalized Sz. Nagy inequality in higher dimensions and the critical thin film equation,
Nonlinearity, vol. 30 no. 1
(2017),
pp. 3560 [doi]
 Degond, P; Liu, JG; MerinoAceituno, S; Tardiveau, T, Continuum dynamics of the intention field under weakly cohesive social interaction,
Mathematical Models & Methods in Applied Sciences, vol. 27 no. 01
(January, 2017),
pp. 159182 [doi]
 Gao, Y; Liu, JG, Global Convergence of a Sticky Particle Method for the Modified CamassaHolm Equation,
Siam Journal on Mathematical Analysis, vol. 49 no. 2
(January, 2017),
pp. 12671294 [doi]
 Liu, JG; Xu, X, Analytical Validation of a Continuum Model for the Evolution of a Crystal Surface in Multiple Space Dimensions,
Siam Journal on Mathematical Analysis, vol. 49 no. 3
(January, 2017),
pp. 22202245 [doi]
 Gao, Y; Ji, H; Liu, JG; P. Witelski, T, A vicinal surface model for epitaxial growth with logarithmic free energy,
Discrete & Continuous Dynamical Systems B, vol. 22 no. 11
(2017),
pp. 121 [doi]
 Huang, H; Liu, JG, Discreteintime random particle blob method for the Keller–Segel equation and convergence analysis,
Communications in Mathematical Sciences, vol. 15 no. 7
(2017),
pp. 18211842 [doi] [abs]
 Degond, P; Herty, M; Liu, JG, Meanfield games and model predictive control,
Communications in Mathematical Sciences, vol. 15 no. 5
(2017),
pp. 14031422 [doi]
 Li, L; Liu, JG, A note on deconvolution with completely monotone sequences and discrete fractional calculus,
Quarterly of Applied Mathematics
(2017),
pp. 11 [doi]
Lu, Jianfeng
 Cao, Y; Lu, J, Stochastic dynamical lowrank approximation method,
Journal of Computational Physics, vol. 372
(November, 2018),
pp. 564586 [doi] [abs]
 Li, X; Liu, J; Lu, J; Zhou, X, Moderate deviation for random elliptic PDE with small noise,
The Annals of Applied Probability, vol. 28 no. 5
(October, 2018),
pp. 27812813 [doi] [abs]
 Barthel, T; Lu, J, Fundamental Limitations for Measurements in Quantum ManyBody Systems.,
Physical Review Letters, vol. 121 no. 8
(August, 2018),
pp. 080406 [doi] [abs]
 Huang, Y; Lu, J; Ming, P, A Concurrent Global–Local Numerical Method for Multiscale PDEs,
Journal of Scientific Computing, vol. 76 no. 2
(August, 2018),
pp. 11881215 [doi] [abs]
 You, Z; Li, L; Lu, J; Ge, H, Integrated tempering enhanced sampling method as the infinite switching limit of simulated tempering.,
The Journal of Chemical Physics, vol. 149 no. 8
(August, 2018),
pp. 084114 [doi] [abs]
 Lu, J; Zhou, Z, Accelerated sampling by infinite swapping of path integral molecular dynamics with surface hopping.,
The Journal of Chemical Physics, vol. 148 no. 6
(February, 2018),
pp. 064110 [doi] [abs]
 Cai, Z; Lu, J, A Quantum Kinetic Monte Carlo Method for Quantum ManyBody Spin Dynamics,
Siam Journal on Scientific Computing, vol. 40 no. 3
(January, 2018),
pp. B706B722 [doi]
 Lu, J; Yang, H, Phasespace sketching for crystal image analysis based on synchrosqueezed transforms,
Siam Journal on Imaging Sciences, vol. 11 no. 3
(January, 2018),
pp. 19541978, SIAM PUBLICATIONS [doi] [abs]
 Delgadillo, R; Lu, J; Yang, X, Frozen Gaussian approximation for high frequency wave propagation in periodic media,
Asymptotic Analysis, vol. 110 no. 34
(January, 2018),
pp. 113135 [doi] [abs]
 Yu, VWZ; Corsetti, F; García, A; Huhn, WP; Jacquelin, M; Jia, W; Lange, B; Lin, L; Lu, J; Mi, W; Seifitokaldani, A; VázquezMayagoitia, Á; Yang, C; Yang, H; Blum, V, ELSI: A unified software interface for Kohn–Sham electronic structure solvers,
Computer Physics Communications, vol. 222
(January, 2018),
pp. 267285 [doi]
 Du, Q; Li, XH; Lu, J; Tian, X, A Quasinonlocal Coupling Method for Nonlocal and Local Diffusion Models,
Siam Journal on Numerical Analysis, vol. 56 no. 3
(January, 2018),
pp. 13861404 [doi]
 Dai, S; Li, B; Lu, J, Convergence of PhaseField Free Energy and Boundary Force for Molecular Solvation,
Archive for Rational Mechanics and Analysis, vol. 227 no. 1
(January, 2018),
pp. 105147 [doi]
 Cai, Z; Lu, J, A surface hopping Gaussian beam method for highdimensional transport systems,
Siam Journal on Scientific Computing, vol. 40 no. 5
(January, 2018),
pp. B1277B1301, SIAM PUBLICATIONS [doi] [abs]
 Zhu, W; Qiu, Q; Wang, B; Lu, J; Sapiro, G; Daubechies, I, Stop memorizing: A datadependent regularization framework for intrinsic pattern learning.,
Corr, vol. abs/1805.07291
(2018)
 Lu, J; Thicke, K, Cubic scaling algorithms for RPA correlation using interpolative separable density fitting,
Journal of Computational Physics, vol. 351
(December, 2017),
pp. 187202 [doi]
 Cao, Y; Lu, J, Lindblad equation and its semiclassical limit of the AndersonHolstein model,
Journal of Mathematical Physics, vol. 58 no. 12
(December, 2017),
pp. 122105122105 [doi] [abs]
 Lu, J; Zhou, Z, Frozen Gaussian approximation with surface hopping for mixed quantumclassical dynamics: A mathematical justification of fewest switches surface hopping algorithms,
Mathematics of Computation, vol. 87 no. 313
(November, 2017),
pp. 21892232 [doi]
 Li, L; Liu, JG; Lu, J, Fractional Stochastic Differential Equations Satisfying FluctuationDissipation Theorem,
Journal of Statistical Physics, vol. 169 no. 2
(October, 2017),
pp. 316339 [doi] [abs]
 Li, Q; Lu, J; Sun, W, A convergent method for linear halfspace kinetic equations,
ESAIM. Mathematical modelling and numerical analysis = ESAIM. Modelisation mathematique et analyse numerique : M=2AN, vol. 51 no. 5
(September, 2017),
pp. 15831615 [doi]
 Lu, J; Steinerberger, S, A variation on the DonskerVaradhan inequality for the principal eigenvalue.,
Proceedings. Mathematical, Physical, and Engineering Sciences, vol. 473 no. 2204
(August, 2017),
pp. 20160877 [doi] [abs]
 Lu, J; Yang, H, A cubic scaling algorithm for excited states calculations in particle–particle random phase approximation,
Journal of Computational Physics, vol. 340
(July, 2017),
pp. 297308 [doi]
 Gao, Y; Liu, JG; Lu, J, Continuum Limit of a Mesoscopic Model with Elasticity of Step Motion on Vicinal Surfaces,
Journal of Nonlinear Science, vol. 27 no. 3
(June, 2017),
pp. 873926 [doi]
 Li, C; Lu, J; Yang, W, On extending KohnSham density functionals to systems with fractional number of electrons.,
The Journal of Chemical Physics, vol. 146 no. 21
(June, 2017),
pp. 214109 [doi] [abs]
 Lu, J; Thicke, K, Orbital minimization method with ℓ 1 regularization,
Journal of Computational Physics, vol. 336
(May, 2017),
pp. 87103 [doi]
 Huang, Y; Lu, J; Ming, P, A Hybrid Globallocal Numerical Method for Multiscale PDEs
(April, 2017) [abs]
 Li, L; Liu, JG; Lu, J, Fractional stochastic differential equations satisfying fluctuationdissipation theorem
(April, 2017) [abs]
 Lu, J; Zhou, Z, Path integral molecular dynamics with surface hopping for thermal equilibrium sampling of nonadiabatic systems.,
The Journal of Chemical Physics, vol. 146 no. 15
(April, 2017),
pp. 154110 [doi] [abs]
 Watson, AB; Lu, J; Weinstein, MI, Wavepackets in inhomogeneous periodic media: Effective particlefield dynamics and Berry curvature,
Journal of Mathematical Physics, vol. 58 no. 2
(February, 2017),
pp. 021503021503 [doi]
 Niu, X; Luo, T; Lu, J; Xiang, Y, Dislocation climb models from atomistic scheme to dislocation dynamics,
Journal of the Mechanics and Physics of Solids, vol. 99
(February, 2017),
pp. 242258 [doi]
 Li, XH; Lu, J, Quasinonlocal Coupling of Nonlocal Diffusions,
Siam Journal on Numerical Analysis, vol. 55 no. 5
(January, 2017),
pp. 23942415 [doi]
 Lu, J; Yang, H, Preconditioning Orbital Minimization Method for Planewave Discretization,
Multiscale Modeling & Simulation, vol. 15 no. 1
(January, 2017),
pp. 254273 [doi]
 Lin, L; Lu, J; VandenEijnden, E, A Mathematical Theory of Optimal Milestoning (with a Detour via Exact Milestoning),
Communications on Pure and Applied Mathematics
(January, 2017) [doi] [abs]
 Li, Q; Lu, J; Sun, W, Validity and Regularization of Classical HalfSpace Equations,
Journal of Statistical Physics, vol. 166 no. 2
(January, 2017),
pp. 398433 [doi]
 Li, Q; Lu, J, An asymptotic preserving method for transport equations with oscillatory scattering coefficients,
Multiscale Modeling & Simulation, vol. 15 no. 4
(January, 2017),
pp. 16941718 [doi] [abs]
 Gao, Y; Liu, JG; Lu, J, Weak Solution of a Continuum Model For Vicinal Surface in The AttachmentDetachmentLimited Regime,
Siam Journal on Mathematical Analysis, vol. 49 no. 3
(January, 2017),
pp. 17051731 [doi] [abs]
 Cornelis, B; Yang, H; Goodfriend, A; Ocon, N; Lu, J; Daubechies, I, Removal of Canvas Patterns in Digital Acquisitions of Paintings.,
Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society, vol. 26 no. 1
(January, 2017),
pp. 160171 [doi] [abs]
Lu, Yulong
 Lu, Y; Stuart, A; Weber, H, Gaussian Approximations for Transition Paths in Brownian Dynamics,
Siam Journal on Mathematical Analysis, vol. 49 no. 4
(January, 2017),
pp. 30053047 [doi]
Ma, Ding
 D. Ma, Period polynomial relations of binomial coefficients and binomial realization of formal double zeta space,
International Journal of Number Theory, vol. 13 no. 03
(April, 2017),
pp. 761774 [doi] [abs]
Maggioni, Mauro
 Escande, P; Debarnot, V; Maggioni, M; Mangeat, T; Weiss, P, Learning and exploiting physics of degradations,
Optics Infobase Conference Papers, vol. Part F105MATH 2018
(January, 2018), ISBN 9781557528209 [doi] [abs]
 Murphy, JM; Maggioni, M, Diffusion geometric methods for fusion of remotely sensed data,
Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 10644
(January, 2018), ISBN 9781510617995 [doi] [abs]
 Murphy, JM; Maggioni, M, Unsupervised Clustering and Active Learning of Hyperspectral Images With Nonlinear Diffusion,
Ieee Transactions on Geoscience and Remote Sensing
(January, 2018) [doi] [abs]
 Little, AV; Maggioni, M; Rosasco, L, Multiscale geometric methods for data sets I: Multiscale SVD, noise and curvature,
Applied and Computational Harmonic Analysis, vol. 43 no. 3
(November, 2017),
pp. 504567 [doi]
 Wang, YG; Maggioni, M; Chen, G, Enhanced detection of chemical plumes in hyperspectral images and movies throughimproved backgroundmodeling,
Proceedings of Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, vol. 2015June
(October, 2017), ISBN 9781467390156 [doi] [abs]
 Gerber, S; Maggioni, M, Multiscale strategies for computing optimal transport,
Journal of Machine Learning Research, vol. 18
(August, 2017),
pp. 132 [abs]
 Bongini, M; Fornasier, M; Hansen, M; Maggioni, M, Inferring interaction rules from observations of evolutive systems I: The variational approach,
Mathematical Models & Methods in Applied Sciences, vol. 27 no. 05
(May, 2017),
pp. 909951 [doi]
 Tomita, TM; Maggioni, M; Vogelstein, JT, ROFLMAO: Robust oblique forests with linear MAtrix operations,
Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017
(January, 2017),
pp. 498506, ISBN 9781611974874 [abs]
 Crosskey, M; Maggioni, M, ATLAS: A Geometric Approach to Learning HighDimensional Stochastic Systems Near Manifolds,
Multiscale Modeling & Simulation, vol. 15 no. 1
(January, 2017),
pp. 110156 [doi]
 E Causevic and R~R Coifman and R Isenhart and A Jacquin and E~R John and M Maggioni and L~S Prichep and F~J Warner, QEEGbased classification with wavelet packets and microstate features for triage applications in the ER
(2005)
 GL Davis and Mauro Maggioni and FJ Warner and FB Geshwind and AC Coppi and RA DeVerse and RR Coifman, Hyperspectral Analysis of normal and malignant colon tissue microarray sections using a novel DMD system
(2004) (Poster, Optical Imaging NIH workshop, to app. in proc..)
 Ronald R Coifman and Mauro Maggioni, Multiresolution Analysis associated to diffusion semigroups: construction and fast algorithms no. YALE/DCS/TR1289
(2004)
Malen, Greg
 Malen, G, Homomorphism complexes and cores,
Discrete Mathematics, vol. 341 no. 9
(September, 2018),
pp. 25672574 [doi]
Mattingly, Jonathan C.
(search)
 Herschlag, G; Ravier, R; Mattingly, JC, Evaluating Partisan Gerrymandering in Wisconsin
(September, 2017) [abs]
 Bakhtin, Y; Hurth, T; Lawley, SD; Mattingly, JC, Smooth invariant densities for random switching on the torus, vol. 31 no. 4
(August, 2017),
pp. 13311350 [doi] [abs]
 Johndrow, JE; Mattingly, JC, Coupling and Decoupling to bound an approximating Markov Chain
(July, 2017) [abs]
 GlattHoltz, NE; Herzog, DP; Mattingly, JC, Scaling and Saturation in InfiniteDimensional Control Problems with
Applications to Stochastic Partial Differential Equations,
Annals of Pde
(June, 2017) [abs]
 GlattHoltz, N; Mattingly, JC; Richards, G, On Unique Ergodicity in Nonlinear Stochastic Partial Differential Equations,
Journal of Statistical Physics, vol. 166 no. 34
(February, 2017),
pp. 618649 [1512.04126v1], [doi] [abs]
Miller, Ezra
 Katthän, L; Michałek, M; Miller, E, When is a Polynomial Ideal Binomial After an Ambient Automorphism?,
Foundations of Computational Mathematics
(January, 2018), Springer Nature America, Inc [doi] [abs]
Motta, Francis C.
 Motta, FC, Topological Data Analysis: Developments and Applications,
in Advances in Nonlinear Geosciences, edited by Tsonis, A
(November, 2017),
pp. 369391, Springer, ISBN 3319588958 [abs]
 Cho, CY; Motta, FC; Kelliher, CM; Deckard, A; Haase, SB, Reconciling conflicting models for global control of cellcycle transcription.,
Cell Cycle, vol. 16 no. 20
(October, 2017),
pp. 19651978 [doi] [abs]
 Burris, CS; Motta, FC; Shipman, PD, An Unoriented Variation on de Bruijn Sequences,
Graphs and Combinatorics, vol. 33 no. 4
(July, 2017),
pp. 845858 [doi]
Mukherjee, Sayan
 Silverman, JD; Durand, HK; Bloom, RJ; Mukherjee, S; David, LA, Correction to: Dynamic linear models guide design and analysis of microbiota studies within artificial human guts.,
Microbiome, vol. 6 no. 1
(November, 2018),
pp. 212 [doi] [abs]
 Silverman, JD; Durand, HK; Bloom, RJ; Mukherjee, S; David, LA, Dynamic linear models guide design and analysis of microbiota studies within artificial human guts.,
Microbiome, vol. 6 no. 1
(November, 2018),
pp. 202 [doi] [abs]
 Barish, S; Nuss, S; Strunilin, I; Bao, S; Mukherjee, S; Jones, CD; Volkan, PC, Combinations of DIPs and Dprs control organization of olfactory receptor neuron terminals in Drosophila.,
Plos Genetics, vol. 14 no. 8
(August, 2018),
pp. e1007560 [doi] [abs]
 Singleton, KR; Crawford, L; Tsui, E; Manchester, HE; Maertens, O; Liu, X; Liberti, MV; Magpusao, AN; Stein, EM; Tingley, JP; Frederick, DT; Boland, GM; Flaherty, KT; McCall, SJ; Krepler, C; Sproesser, K; Herlyn, M; Adams, DJ; Locasale, JW; Cichowski, K; Mukherjee, S; Wood, KC, Melanoma Therapeutic Strategies that Select against Resistance by Exploiting MYCDriven Evolutionary Convergence.,
Cell Reports, vol. 21 no. 10
(December, 2017),
pp. 27962812 [doi] [abs]
 Darnell, G; Georgiev, S; Mukherjee, S; Engelhardt, BE, Adaptive randomized dimension reduction on massive data,
Journal of machine learning research : JMLR, vol. 18
(November, 2017) [abs]
 Gao, T; Yapuncich, GS; Daubechies, I; Mukherjee, S; Boyer, DM, Development and Assessment of Fully Automated and Globally Transitive Geometric Morphometric Methods, With Application to a Biological Comparative Dataset With High Interspecific Variation.,
The Anatomical Record : Advances in Integrative Anatomy and Evolutionary Biology
(October, 2017) [doi] [abs]
 Crawford, L; Wood, KC; Zhou, X; Mukherjee, S, Bayesian Approximate Kernel Regression With Variable Selection,
Journal of the American Statistical Association
(August, 2017),
pp. 112 [doi]
 Bobrowski, O; Mukherjee, S; Taylor, JE, Topological consistency via kernel estimation,
Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, vol. 23 no. 1
(February, 2017),
pp. 288328 [doi]
 Tan, Z; Mukherjee, S, Partitioned tensor factorizations for learning mixed membership models,
34th International Conference on Machine Learning, Icml 2017, vol. 7
(January, 2017),
pp. 51565165, ISBN 9781510855144 [abs]
Nagy, Akos
 Nagy, Á, The Berry Connection of the Ginzburg–Landau Vortices,
Communications in Mathematical Physics, vol. 350 no. 1
(February, 2017),
pp. 105128 [doi]
Ng, Lenhard L.
 Ekholm, T; Ng, L; Shende, V, A complete knot invariant from contact homology,
Inventiones Mathematicae, vol. 211 no. 3
(March, 2018),
pp. 11491200 [doi] [abs]
 Cieliebak, K; Ekholm, T; Latschev, J; Ng, L, Knot contact homology, string topology, and the cord algebra,
Journal De L'Ecole Polytechnique Mathematiques, vol. 4
(January, 2017),
pp. 661780 [doi] [abs]
 Ng, L; Rutherford, D; Shende, V; Sivek, S, The cardinality of the augmentation category of a Legendrian link,
Mathematical Research Letters, vol. 24 no. 6
(2017),
pp. 18451874
Nolen, James H.
 Cristali, I; Ranjan, V; Steinberg, J; Beckman, E; Durrett, R; Junge, M; Nolen, J, Block size in geometric(P)biased permutations,
Electronic Communications in Probability, vol. 23
(January, 2018),
pp. 110 [doi] [abs]
 Nolen, J; Roquejoffre, JM; Ryzhik, L, Refined longtime asymptotics for Fisher–KPP fronts,
Communications in Contemporary Mathematics
(January, 2018),
pp. 18500721850072, World Scientific Pub Co Pte Lt [doi] [abs]
 Mourrat, JC; Nolen, J, Scaling limit of the corrector in stochastic homogenization,
The Annals of Applied Probability, vol. 27 no. 2
(April, 2017),
pp. 944959, Institute of Mathematical Statistics (IMS), ISSN 10505164 [arXiv:1502.07440], [1502.07440], [doi] [abs]
 Nolen, J; Roquejoffre, JM; Ryzhik, L, Convergence to a single wave in the FisherKPP equation,
Chinese Annals of Mathematics, Series B, vol. 38 no. 2
(March, 2017),
pp. 629646 [1604.02994], [doi]
Orizaga, Saulo
 Glasner, K; Orizaga, S, Multidimensional equilibria and their stability in copolymer–solvent mixtures,
Physica D: Nonlinear Phenomena, vol. 373
(June, 2018),
pp. 112 [doi] [abs]
 Orizaga, S; Riahi, DN, Triad resonant wave interactions in electrically charged jets,
Applied Mathematics and Mechanics, vol. 38 no. 8
(August, 2017),
pp. 11271148 [doi]
Petters, Arlie O.
 A. O. Petters and M. C. Werner, Gravitational Lensing and Black Holes
(Spring, 2017), Springer, in preparation
Pfister, Henry
 Rengaswamy, N; Calderbank, R; Pfister, HD; Kadhe, S, Synthesis of Logical Clifford Operators via Symplectic Geometry,
Ieee International Symposium on Information Theory Proceedings, vol. 2018June
(August, 2018),
pp. 791795 [doi] [abs]
 Hager, C; Pfister, HD, Deep Learning of the Nonlinear Schrödinger Equation in FiberOptic Communications,
Ieee International Symposium on Information Theory Proceedings, vol. 2018June
(August, 2018),
pp. 15901594 [doi] [abs]
 Santi, E; Hager, C; Pfister, HD, Decoding ReedMuller Codes Using Minimum Weight Parity Checks,
Ieee International Symposium on Information Theory Proceedings, vol. 2018June
(August, 2018),
pp. 12961300 [doi] [abs]
 Reeves, G; Pfister, HD; Dytso, A, Mutual Information as a Function of Matrix SNR for Linear Gaussian Channels,
Ieee International Symposium on Information Theory Proceedings, vol. 2018June
(August, 2018),
pp. 17541758, ISBN 9781538647806 [doi] [abs]
 Hager, C; Pfister, HD, Approaching MiscorrectionFree Performance of Product Codes With Anchor Decoding,
Ieee Transactions on Communications, vol. 66 no. 7
(July, 2018),
pp. 27972808 [doi]
 Hager, C; Pfister, HD, Nonlinear interference mitigation via deep neural networks,
2018 Optical Fiber Communications Conference and Exposition, Ofc 2018 Proceedings
(June, 2018),
pp. 13, ISBN 9781943580385 [abs]
 Yoo, I; Imani, MF; Sleasman, T; Pfister, HD; Smith, DR, Enhancing Capacity of Spatial Multiplexing Systems Using Reconfigurable Cavitybacked Metasurface Antennas in Clustered MIMO Channels,
Ieee Transactions on Communications
(January, 2018) [doi] [abs]
 Häger, C; Pfister, HD, Nonlinear Interference Mitigation via Deep Neural Networks,
Optical Fiber Communication Conference, vol. Part F84OFC 2018
(2018), OSA [doi] [abs]
 Charbonneau, P; Li, YC; Pfister, HD; Yaida, S, Cycleexpansion method for the Lyapunov exponent, susceptibility, and higher moments.,
Physical Review. E, vol. 96 no. 31
(September, 2017),
pp. 032129 [doi] [abs]
 Hager, C; Pfister, HD, Miscorrectionfree Decoding of Staircase Codes,
2017 European Conference on Optical Communication (Ecoc), vol. 2017September
(September, 2017),
pp. 13, IEEE [doi] [abs]
 Kudekar, S; Kumar, S; Mondelli, M; Pfister, HD; Sasoglu, E; Urbanke, RL, Reed–Muller Codes Achieve Capacity on Erasure Channels,
Ieee Transactions on Information Theory, vol. 63 no. 7
(July, 2017),
pp. 42984316 [doi]
 Hager, C; Pfister, HD; Graell i Amat, A; Brannstrom, F, Density Evolution for Deterministic Generalized Product Codes on the Binary Erasure Channel at High Rates,
Ieee Transactions on Information Theory
(July, 2017) [doi]
 Sabag, O; Permuter, HH; Pfister, HD, A SingleLetter Upper Bound on the Feedback Capacity of Unifilar FiniteState Channels,
Ieee Transactions on Information Theory, vol. 63 no. 3
(March, 2017),
pp. 13921409 [doi] [abs]
 Sabag, O; Permuter, HH; Pfister, HD, Singleletter bounds on the feedback capacity of unifilar finitestate channels,
2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
(January, 2017), ISBN 9781509021529 [doi] [abs]
 Jian, YY; Pfister, HD; Narayanan, KR, Approaching Capacity at High Rates with Iterative HardDecision Decoding,
Ieee Transactions on Information Theory
(2017),
pp. 11 [doi]
Pierce, Lillian B.
 Pierce, LB; Yung, PL, A polynomial Carleson operator along the paraboloid,
Revista Matemática Iberoamericana
(2018), European Mathematical Society
 Carneiro, E; Madrid, J; Pierce, LB, Endpoint Sobolev and BV continuity for maximal operators,
Journal of Functional Analysis, vol. 273 no. 10
(November, 2017),
pp. 32623294 [doi]
 HeathBrown, DR; Pierce, LB, Averages and moments associated to class numbers of imaginary quadratic fields,
Compositio Mathematica, vol. 153 no. 11
(November, 2017),
pp. 22872309 [doi]
 Pierce, LB, The Vinogradov Mean Value Theorem [after Wooley, and Bourgain, Demeter
and Guth],
Astérisque
(July, 2017), Centre National de la Recherche Scientifique [abs]
 HeathBrown, DR; Pierce, LB, Simultaneous integer values of pairs of quadratic forms,
Journal Fur Die Reine Und Angewandte Mathematik, vol. 2017 no. 727
(June, 2017),
pp. 85143 [doi] [abs]
 Pierce, LB; TurnageButterbaugh, CL; Wood, MM, An effective Chebotarev density theorem for families of number fields,
with an application to $\ell$torsion in class groups,
(Submitted)
(2017) [abs]
 Guo, S; Pierce, LB; Roos, J; Yung, P, Polynomial Carleson operators along monomial curves in the plane,
Journal of Geometric Analysis
(2017), Springer Verlag [abs]
 Ellenberg, J; Pierce, LB; Wood, MM, On ℓtorsion in class groups of number fields,
Algebra & Number Theory, vol. 11 no. 8
(2017),
pp. 17391778 [doi] [abs]
Plesser, M. Ronen
 Bertolini, M; Plesser, MR, (0,2) hybrid models,
Journal of High Energy Physics, vol. 2018 no. 9
(September, 2018) [doi] [abs]
 Jockers, H; Katz, S; Morrison, DR; Plesser, MR, SU(N) Transitions in MTheory on Calabi–Yau Fourfolds and Background Fluxes,
Communications in Mathematical Physics, vol. 351 no. 2
(April, 2017),
pp. 837871 [doi]
Pollack, Aaron
 Pollack, A, The spin function on for Siegel modular forms,
Compositio Mathematica, vol. 153 no. 07
(July, 2017),
pp. 13911432 [doi]
 Pollack, A; Shah, S, On the Rankin–Selberg integral of Kohnen and Skoruppa,
Mathematical Research Letters, vol. 24 no. 1
(2017),
pp. 173222 [doi]
Randles, Amanda
 Gounley, J; Vardhan, M; Randles, A, A Framework for Comparing Vascular Hemodynamics at Different Points in Time.,
Computer Physics Communications, vol. 235
(February, 2019),
pp. 18 [doi] [abs]
 Gounley, J; Draeger, EW; Oppelstrup, T; Krauss, WD; Gunnels, JA; Chaudhury, R; Nair, P; Frakes, D; Leopold, JA; Randles, A, Computing the anklebrachial index with parallel computational fluid dynamics.,
Journal of Biomechanics
(October, 2018) [doi] [abs]
 Hegele, LA; Scagliarini, A; Sbragaglia, M; Mattila, KK; Philippi, PC; Puleri, DF; Gounley, J; Randles, A, HighReynoldsnumber turbulent cavity flow using the lattice Boltzmann method,
Physical Review. E, vol. 98 no. 4
(October, 2018) [doi] [abs]
 Herschlag, G; Lee, S; Vetter, JS; Randles, A, GPU data access on complex geometries for D3Q19 lattice boltzmann method,
Proceedings 2018 Ieee 32nd International Parallel and Distributed Processing Symposium, Ipdps 2018
(August, 2018),
pp. 825834, ISBN 9781538643686 [doi] [abs]
 Rafat, M; Stone, HA; Auguste, DT; Dabagh, M; Randles, A; Heller, M; Rabinov, JD, Impact of diversity of morphological characteristics and Reynolds number on local hemodynamics in basilar aneurysms,
Aiche Journal, vol. 64 no. 7
(July, 2018),
pp. 27922802 [doi] [abs]
 Randles, A; Frakes, DH; Leopold, JA, Computational Fluid Dynamics and Additive Manufacturing to Diagnose and Treat Cardiovascular Disease.,
Trends in Biotechnology, vol. 35 no. 11
(November, 2017),
pp. 10491061 [doi] [abs]
 Gounley, J; Vardhan, M; Randles, A, A computational framework to assess the influence of changes in vascular geometry on blood flow,
PASC 2017  Proceedings of the Platform for Advanced Scientific Computing Conference
(June, 2017), ISBN 9781450350624 [doi] [abs]
 Dabagh, M; Jalali, P; Butler, PJ; Randles, A; Tarbell, JM, Mechanotransmission in endothelial cells subjected to oscillatory and multidirectional shear flow.,
Journal of the Royal Society, Interface, vol. 14 no. 130
(May, 2017) [doi] [abs]
 Laurence, TA; Ly, S; Fong, E; Shusteff, M; Randles, A; Gounley, J; Draeger, E, Using stroboscopic flow imaging to validate largescale computational fluid dynamics simulations,
High Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management Ii, vol. 10076
(February, 2017), SPIE, ISBN 9781510605930 [doi] [abs]
 Gounley, J; Draeger, EW; Randles, A, Numerical simulation of a compound capsule in a constricted microchannel.,
Procedia Computer Science, vol. 108
(January, 2017),
pp. 175184 [doi] [abs]
Reed, Michael C.
 Nijhout, HF; Best, JA; Reed, MC, Systems biology of robustness and homeostatic mechanisms.,
Wiley Interdisciplinary Reviews. Systems Biology and Medicine
(October, 2018),
pp. e1440 [doi] [abs]
 SadreMarandi, F; Dahdoul, T; Reed, MC; Nijhout, HF, Sex differences in hepatic onecarbon metabolism.,
Bmc Systems Biology, vol. 12 no. 1
(October, 2018),
pp. 89 [doi] [abs]
 West, A; Best, J; Abdalla, A; Nijhout, F; Reed, M; Hashemi, P, Voltammetric evidence for discrete serotonin circuits, linked to specific reuptake domains, in the mouse medial prefrontal cortex.,
Neurochemistry International
(July, 2018) [doi] [abs]
 Duncan, W; Best, J; Golubitsky, M; Nijhout, HF; Reed, M, Homeostasis despite instability.,
Mathematical Biosciences, vol. 300
(March, 2018),
pp. 130137 [doi] [abs]
 Suppiramaniam, V; Bloemer, J; Reed, M; Bhattacharya, S, Neurotransmitter Receptors,
in Comprehensive Toxicology: Third Edition, vol. 615
(December, 2017),
pp. 174201, ISBN 9780081006122 [doi] [abs]
 Best, J; Nijhout, HF; Samaranayake, S; Hashemi, P; Reed, M, A mathematical model for histamine synthesis, release, and control in varicosities.,
Theoretical Biology & Medical Modelling, vol. 14 no. 1
(December, 2017),
pp. 24 [doi] [abs]
 Reed, M; Best, J; Golubitsky, M; Stewart, I; Nijhout, HF, Analysis of Homeostatic Mechanisms in Biochemical Networks.,
Bulletin of Mathematical Biology, vol. 79 no. 11
(November, 2017),
pp. 25342557 [doi] [abs]
 Nijhout, HF; SadreMarandi, F; Best, J; Reed, MC, Systems Biology of Phenotypic Robustness and Plasticity.,
Integrative and Comparative Biology, vol. 57 no. 2
(August, 2017),
pp. 171184 [doi] [abs]
 Reed, MC; Best, J; Nijhout, HF, Mathematical models of neuromodulation and implications for neurology and psychiatry, edited by Erdi, P; Battacharya, B; Cochran, A
(2017)
 Reed, MC; Lawley, S; Nijhout, HF, Spiracular fluttering increases oxygen uptake
(2017)
 Reed, MC; Best, J; Nijhout, HF, Mathematical models of neuromodulation and implications for neurology and psychiatry,
in Computational Neurology and Psychiatry, edited by Erdi, P; Bhattacharya, B; Cochran, A
(2017), SPRINGER
 Thanacoody, HKR; Nijhout, HF; Reed, MC; Thomas, S, Mathematical modeling of the effect of different intravenous acetylcysteine regimens on hepatic glutathione regeneration and hepatocyte death following simulated acetaminophen overdose,
Clinical Toxicology (Philadelphia, Pa.), vol. 55 no. 7
(2017),
pp. 753753
 Thanacoody, HKR; Nijhout, HF; Reed, MC; Thomas, S, Mathematical modeling of the effect of late administration of a novel acetylcysteine regimen based on the SNAP trial on hepatic glutathione regeneration and hepatocyte death following simulated acetaminophen overdose,
Clinical Toxicology (Philadelphia, Pa.), vol. 55 no. 7
(2017),
pp. 753754
Robles, Colleen M
 Robles, C, Characterization of Calabi–Yau variations of Hodge structure over tube domains by characteristic forms,
Mathematische Annalen
(September, 2017),
pp. 125 [doi] [abs]
 Kerr, M; Robles, C, Variations of Hodge structure and orbits in flag varieties,
Advances in Mathematics, vol. 315
(July, 2017),
pp. 2787 [doi] [abs]
 Kerr, M; Robles, C, Classification of smooth horizontal Schubert varieties,
European Journal of Mathematics, vol. 3 no. 2
(June, 2017),
pp. 289310 [doi]
Rudin, Cynthia D.
 Rudin, C; Ertekin, Ş, Learning customized and optimized lists of rules with mathematical programming,
Mathematical Programming Computation, vol. 10 no. 4
(December, 2018),
pp. 659702 [doi] [abs]
 Rudin, C; Ustunb, B, Optimized scoring systems: Toward trust in machine learning for healthcare and criminal justice,
Interfaces, vol. 48 no. 5
(September, 2018),
pp. 449466 [doi] [abs]
 Vu, MAT; Adalı, T; Ba, D; Buzsáki, G; Carlson, D; Heller, K; Liston, C; Rudin, C; Sohal, VS; Widge, AS; Mayberg, HS; Sapiro, G; Dzirasa, K, A Shared Vision for Machine Learning in Neuroscience.,
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience, vol. 38 no. 7
(February, 2018),
pp. 16011607 [doi] [abs]
 Angelino, E; LarusStone, N; Alabi, D; Seltzer, M; Rudin, C, Learning certifiably optimal rule lists for categorical data,
Journal of Machine Learning Research, vol. 18
(January, 2018),
pp. 178 [abs]
 Struck, AF; Ustun, B; Ruiz, AR; Lee, JW; LaRoche, SM; Hirsch, LJ; Gilmore, EJ; Vlachy, J; Haider, HA; Rudin, C; Westover, MB, Association of an ElectroencephalographyBased Risk Score With Seizure Probability in Hospitalized Patients.,
Jama Neurology, vol. 74 no. 12
(December, 2017),
pp. 14191424 [doi] [abs]
 Ustun, B; Rudin, C, Optimized risk scores,
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, vol. Part F129685
(August, 2017),
pp. 11251134, ISBN 9781450348874 [doi] [abs]
 Angelino, E; LarusStone, N; Alabi, D; Seltzer, M; Rudin, C, Learning certifiably optimal rule lists,
Proceedings of the Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, vol. Part F129685
(August, 2017),
pp. 3544, ISBN 9781450348874 [doi] [abs]
 Wang, T; Rudin, C; DoshiVelez, F; Liu, Y; Klampfl, E; MacNeille, P, A Bayesian framework for learning rule sets for interpretable classification,
Journal of Machine Learning Research, vol. 18
(August, 2017),
pp. 137 [abs]
 Letham, B; Letham, PA; Rudin, C; Browne, EP, Erratum: "Prediction uncertainty and optimal experimental design for learning dynamical systems" [Chaos 26, 063110 (2016)].,
Chaos (Woodbury, N.Y.), vol. 27 no. 6
(June, 2017),
pp. 069901 [doi]
 Zeng, J; Ustun, B; Rudin, C, Interpretable classification models for recidivism prediction,
Journal of the Royal Statistical Society: Series a (Statistics in Society), vol. 180 no. 3
(June, 2017),
pp. 689722 [doi]
 Ustun, B; Adler, LA; Rudin, C; Faraone, SV; Spencer, TJ; Berglund, P; Gruber, MJ; Kessler, RC, The World Health Organization Adult AttentionDeficit/Hyperactivity Disorder SelfReport Screening Scale for DSM5.,
Jama Psychiatry, vol. 74 no. 5
(May, 2017),
pp. 520526 [doi] [abs]
 Wang, T; Rudin, C; VelezDoshi, F; Liu, Y; Klampfl, E; Macneille, P, Bayesian rule sets for interpretable classification,
Proceedings Ieee International Conference on Data Mining, Icdm
(January, 2017),
pp. 12691274, ISBN 9781509054725 [doi] [abs]
 Yang, H; Rudin, C; Seltzer, M, Scalable Bayesian rule lists,
34th International Conference on Machine Learning, Icml 2017, vol. 8
(January, 2017),
pp. 59715980, ISBN 9781510855144 [abs]
Ryser, Marc D.
 Ryser, MD; Yu, M; Grady, W; Siegmund, K; Shibata, D, Epigenetic Heterogeneity in Human Colorectal Tumors Reveals Preferential Conservation And Evidence of Immune Surveillance.,
Scientific Reports, vol. 8 no. 1
(November, 2018),
pp. 17292 [doi] [abs]
 Ryser, MD; Gulati, R; Eisenberg, MC; Shen, Y; Hwang, ES; Etzioni, RB, Identification of the Fraction of Indolent Tumors and Associated Overdiagnosis in Breast Cancer Screening Trials.,
American Journal of Epidemiology
(October, 2018) [doi] [abs]
 Ryser, MD; Min, BH; Siegmund, KD; Shibata, D, Spatial mutation patterns as markers of early colorectal tumor cell mobility.,
Proceedings of the National Academy of Sciences of the United States of America, vol. 115 no. 22
(May, 2018),
pp. 57745779 [doi] [abs]
 Role of Preoperative Variables in Reducing the Rate of Occult Invasive Disease for Women Considering Active Surveillance for Ductal Carcinoma In Situ.,
Jama Surgery, vol. 153 no. 3
(March, 2018),
pp. 290291 [doi]
 Ryser, MD; Horton, JK; Hwang, ES, How Low Can We Goand Should We? Risk Reduction for MinimalVolume DCIS.,
Annals of Surgical Oncology, vol. 25 no. 2
(February, 2018),
pp. 354355 [doi]
 Ryser, MD; Weaver, DL; Marks, JR; Hyslop, T; Hwang, ES, Quantifying the natural history and overtreatment rate of ductal carcinoma in situ,
Cancer Research, vol. 78 no. 4
(February, 2018)
 Shen, Y; Dong, W; Gulati, R; Ryser, MD; Etzioni, R, Estimating the frequency of indolent breast cancer in screening trials.,
Statistical Methods in Medical Research
(January, 2018),
pp. 962280217754232 [doi] [abs]
 Grimm, LJ; Ryser, MD; Partridge, AH; Thompson, AM; Thomas, JS; Wesseling, J; Hwang, ES, Surgical Upstaging Rates for Vacuum Assisted Biopsy Proven DCIS: Implications for Active Surveillance Trials.,
Annals of Surgical Oncology, vol. 24 no. 12
(November, 2017),
pp. 35343540 [doi] [abs]
 Cao, Y; Feng, Y; Ryser, MD; Zhu, K; Herschlag, G; Cao, C; Marusak, K; Zauscher, S; You, L, Programmable assembly of pressure sensors using patternforming bacteria.,
Nature Biotechnology, vol. 35 no. 11
(November, 2017),
pp. 10871093 [doi] [abs]
 Ryser, MD; Rositch, A; Gravitt, PE, Modeling of US Human Papillomavirus (HPV) Seroprevalence by Age and Sexual Behavior Indicates an Increasing Trend of HPV Infection Following the Sexual Revolution.,
The Journal of Infectious Diseases, vol. 216 no. 5
(September, 2017),
pp. 604611 [doi] [abs]
 Ryser, MD; Gravitt, PE; Myers, ER, Mechanistic mathematical models: An underused platform for HPV research.,
Papillomavirus research, vol. 3
(June, 2017),
pp. 4649 [doi] [abs]
 Storey, K; Ryser, MD; Leder, K; Foo, J, Spatial Measures of Genetic Heterogeneity During Carcinogenesis.,
Bulletin of Mathematical Biology, vol. 79 no. 2
(February, 2017),
pp. 237276 [doi] [abs]
Saper, Leslie
 Saper, L, ℒmodules and microsupport,
to appear in Annals of Mathematics
(2018)
 Saper, L, Perverse sheaves and the reductive BorelSerre compactification,
in Hodge Theory and L²analysis, edited by Ji, L, vol. 39
(2017),
pp. 555581, International Press [abs]
Sapiro, Guillermo
 Dawson, G; Campbell, K; Hashemi, J; Lippmann, SJ; Smith, V; Carpenter, K; Egger, H; Espinosa, S; Vermeer, S; Baker, J; Sapiro, G, Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder.,
Scientific Reports, vol. 8 no. 1
(November, 2018),
pp. 17008 [doi] [abs]
 Kim, J; Duchin, Y; Shamir, RR; Patriat, R; Vitek, J; Harel, N; Sapiro, G, Automatic localization of the subthalamic nucleus on patientspecific clinical MRI by incorporating 7 T MRI and machine learning: Application in deep brain stimulation.,
Human Brain Mapping
(October, 2018) [doi] [abs]
 Aguerrebere, C; Delbracio, M; Bartesaghi, A; Sapiro, G, A Practical Guide to MultiImage Alignment,
2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2018April
(September, 2018),
pp. 19271931 [doi] [abs]
 Ahn, HK; Qiu, Q; Bosch, E; Thompson, A; Robles, FE; Sapiro, G; Warren, WS; Calderbank, R, Classifying PumpProbe Images of Melanocytic Lesions Using the WEYL Transform,
2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2018April
(September, 2018),
pp. 42094213, ISBN 9781538646588 [doi] [abs]
 Giryes, R; Eldar, YC; Bronstein, AM; Sapiro, G, The Learned Inexact Project Gradient Descent Algorithm,
2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2018April
(September, 2018),
pp. 67676771, ISBN 9781538646588 [doi] [abs]
 Hashemi, J; Dawson, G; Carpenter, KLH; Campbell, K; Qiu, Q; Espinosa, S; Marsan, S; Baker, JP; Egger, HL; Sapiro, G, Computer Vision Analysis for Quantification of Autism Risk Behaviors,
Ieee Transactions on Affective Computing
(August, 2018) [doi] [abs]
 Bartesaghi, A; Aguerrebere, C; Falconieri, V; Banerjee, S; Earl, LA; Zhu, X; Grigorieff, N; Milne, JLS; Sapiro, G; Wu, X; Subramaniam, S, Atomic Resolution CryoEM Structure of βGalactosidase.,
Structure (London, England : 1993), vol. 26 no. 6
(June, 2018),
pp. 848856.e3 [doi] [abs]
 Giryes, R; Eldar, YC; Bronstein, AM; Sapiro, G, Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems,
Ieee Transactions on Signal Processing, vol. 66 no. 7
(April, 2018),
pp. 16761690 [doi] [abs]
 Campbell, K; Carpenter, KL; Hashemi, J; Espinosa, S; Marsan, S; Borg, JS; Chang, Z; Qiu, Q; Vermeer, S; Adler, E; Tepper, M; Egger, HL; Baker, JP; Sapiro, G; Dawson, G, Computer vision analysis captures atypical attention in toddlers with autism.,
Autism
(March, 2018),
pp. 1362361318766247 [doi] [abs]
 Vu, MAT; Adalı, T; Ba, D; Buzsáki, G; Carlson, D; Heller, K; Liston, C; Rudin, C; Sohal, VS; Widge, AS; Mayberg, HS; Sapiro, G; Dzirasa, K, A Shared Vision for Machine Learning in Neuroscience.,
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience, vol. 38 no. 7
(February, 2018),
pp. 16011607 [doi] [abs]
 Pisharady, PK; Sotiropoulos, SN; DuarteCarvajalino, JM; Sapiro, G; Lenglet, C, Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning.,
Neuroimage, vol. 167
(February, 2018),
pp. 488503 [doi] [abs]
 Qiu, Q; Hashemi, J; Sapiro, G, Intelligent synthesis driven model calibration: framework and face recognition application,
Proceedings 2017 Ieee International Conference on Computer Vision Workshops, Iccvw 2017, vol. 2018January
(January, 2018),
pp. 25642572, ISBN 9781538610343 [doi] [abs]
 Sokolić, J; Qiu, Q; Rodrigues, MRD; Sapiro, G, Learning to identify while failing to discriminate,
Proceedings 2017 Ieee International Conference on Computer Vision Workshops, Iccvw 2017, vol. 2018January
(January, 2018),
pp. 25372544, ISBN 9781538610343 [doi] [abs]
 Simhal, AK; Gong, B; Trimmer, JS; Weinberg, RJ; Smith, SJ; Sapiro, G; Micheva, KD, A Computational Synaptic Antibody Characterization Tool for Array Tomography.,
Frontiers in Neuroanatomy, vol. 12
(January, 2018),
pp. 51 [doi] [abs]
 Bertrán, MA; Martínez, NL; Wang, Y; Dunson, D; Sapiro, G; Ringach, D, Active learning of cortical connectivity from twophoton imaging data.,
Plos One, vol. 13 no. 5
(January, 2018),
pp. e0196527 [doi] [abs]
 Asiedu, MN; Simhal, A; Lam, CT; Mueller, J; Chaudhary, U; Schmitt, JW; Sapiro, G; Ramanujam, N, Image processing and machine learning techniques to automate diagnosis of Lugol's iodine cervigrams for a lowcost pointofcare digital colposcope,
Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 10485
(January, 2018), ISBN 9781510614550 [doi] [abs]
 Chiew, KS; Hashemi, J; Gans, LK; Lerebours, L; Clement, NJ; Vu, MAT; Sapiro, G; Heller, NE; Adcock, RA, Motivational valence alters memory formation without altering exploration of a reallife spatial environment.,
Plos One, vol. 13 no. 3
(January, 2018),
pp. e0193506 [doi] [abs]
 Duchin, Y; Shamir, RR; Patriat, R; Kim, J; Vitek, JL; Sapiro, G; Harel, N, Patientspecific anatomical model for deep brain stimulation based on 7 Tesla MRI.,
Plos One, vol. 13 no. 8
(January, 2018),
pp. e0201469 [doi] [abs]
 Qiu, Q; Lezama, J; Bronstein, A; Sapiro, G, ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks,
Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11206 LNCS
(January, 2018),
pp. 442459 [doi] [abs]
 Qiu, Q; Cheng, X; Calderbank, R; Sapiro, G, DCFNet: Deep Neural Network with Decomposed Convolutional Filters,
35th International Conference on Machine Learning, Icml 2018, vol. 9
(January, 2018),
pp. 66876696 [abs]
 Lezama, J; Qiu, Q; Sapiro, G, Not afraid of the dark: NIRVIS face recognition via crossspectral hallucination and lowrank embedding,
Proceedings 30th Ieee Conference on Computer Vision and Pattern Recognition, Cvpr 2017, vol. 2017January
(November, 2017),
pp. 68076816 [doi] [abs]
 Ye, Q; Zhang, T; Ke, W; Qiu, Q; Chen, J; Sapiro, G; Zhang, B, Selflearning scenespecific pedestrian detectors using a progressive latent model,
Proceedings 30th Ieee Conference on Computer Vision and Pattern Recognition, Cvpr 2017, vol. 2017January
(November, 2017),
pp. 20572066 [doi] [abs]
 Su, S; Delbracio, M; Wang, J; Sapiro, G; Heidrich, W; Wang, O, Deep video deblurring for handheld cameras,
Proceedings 30th Ieee Conference on Computer Vision and Pattern Recognition, Cvpr 2017, vol. 2017January
(November, 2017),
pp. 237246, ISBN 9781538604571 [doi] [abs]
 Tepper, M; Sapiro, G, Nonnegative matrix underapproximation for robust multiple model fitting,
Proceedings 30th Ieee Conference on Computer Vision and Pattern Recognition, Cvpr 2017, vol. 2017January
(November, 2017),
pp. 655663, ISBN 9781538604571 [doi] [abs]
 Pisharady, PK; Sotiropoulos, SN; Sapiro, G; Lenglet, C, A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multishell Diffusion MRI.,
Medical image computing and computerassisted intervention : MICCAI ... International Conference on Medical Image Computing and ComputerAssisted Intervention, vol. 10433
(September, 2017),
pp. 602610, ISBN 9783319661810 [doi] [abs]
 Sokolić, J; Giryes, R; Sapiro, G; Rodrigues, MRD, Generalization error of deep neural networks: Role of classification margin and data structure,
2017 12th International Conference on Sampling Theory and Applications, SampTA 2017
(September, 2017),
pp. 147151, ISBN 9781538615652 [doi] [abs]
 Sokolic, J; Giryes, R; Sapiro, G; Rodrigues, MRD, Robust Large Margin Deep Neural Networks,
Ieee Transactions on Signal Processing, vol. 65 no. 16
(August, 2017),
pp. 42654280 [doi]
 Simhal, AK; Aguerrebere, C; Collman, F; Vogelstein, JT; Micheva, KD; Weinberg, RJ; Smith, SJ; Sapiro, G, Probabilistic fluorescencebased synapse detection.,
Plos Computational Biology, vol. 13 no. 4
(April, 2017),
pp. e1005493 [doi] [abs]
 Campbell, K; Carpenter, KLH; Espinosa, S; Hashemi, J; Qiu, Q; Tepper, M; Calderbank, R; Sapiro, G; Egger, HL; Baker, JP; Dawson, G, Use of a Digital Modified Checklist for Autism in Toddlers  Revised with Followup to Improve Quality of Screening for Autism.,
The Journal of Pediatrics, vol. 183
(April, 2017),
pp. 133139.e1 [doi] [abs]
 Gunalan, K; Chaturvedi, A; Howell, B; Duchin, Y; Lempka, SF; Patriat, R; Sapiro, G; Harel, N; McIntyre, CC, Creating and parameterizing patientspecific deep brain stimulation pathwayactivation models using the hyperdirect pathway as an example.,
Plos One, vol. 12 no. 4
(January, 2017),
pp. e0176132 [doi] [abs]
Smith, David A.
 Fey, JT; Smith, DA, Algebra as Part of an Integrated High School Curriculum,
in And the Rest is Just Algebra, edited by Stewart, S
(October 6, 2016),
pp. 119129, Springer International Publishing, ISBN 9783319450537 [doi] [abs]
Sober, Barak
 Shaus, A; Sober, B; Tzang, O; Ioffe, Z; Cheshnovsky, O; Finkelstein, I; Piasetzky, E, Raman Binary Mapping of Iron Age Ostracon in an Unknown Material Composition and HighFluorescence SettingA Proof of Concept,
Archaeometry
(January, 2018), WILEY [doi] [abs]
 Sober, B; Levin, D, Computer aided restoration of handwritten character strokes,
Computer Aided Design, vol. 89
(August, 2017),
pp. 1224 [doi]
 Shaus, A; FaigenbaumGolovin, S; Sober, B; Turkel, E, Potential Contrast – A New Image Quality Measure,
Electronic Imaging, vol. 2017 no. 12
(January, 2017),
pp. 5258 [doi]
 Shaus, A; Sober, B; Turkel, E; Piasetzky, E, Beyond the ground truth: Alternative quality measures of document binarizations,
Proceedings of International Conference on Frontiers in Handwriting Recognition, Icfhr
(January, 2017),
pp. 495500, ISBN 9781509009817 [doi] [abs]
 FaigenbaumGolovin, S; MendelGeberovich, A; Shaus, A; Sober, B; Cordonsky, M; Levin, D; Moinester, M; Sass, B; Turkel, E; Piasetzky, E; Finkelstein, I, Multispectral imaging reveals biblicalperiod inscription unnoticed for half a century.,
Plos One, vol. 12 no. 6
(January, 2017),
pp. e0178400 [doi] [abs]
 Anat MendelGeberovich, ; Arie Shaus, ; Shira FaigenbaumGolovin, ; Barak Sober, ; Michael Cordonsky, ; Eli Piasetzky, ; Israel Finkelstein,, A Brand New Old Inscription: Arad Ostracon 16 Rediscovered via Multispectral Imaging,
Bulletin of the American Schools of Oriental Research no. 378
(2017),
pp. 113113 [doi]
Stern, Mark A.
 Lipnowski, M; Stern, M, Geometry of the Smallest 1form Laplacian Eigenvalue on Hyperbolic Manifolds,
Geometrical and Functional Analysis Gafa, vol. 28 no. 6
(December, 2018),
pp. 17171755, Springer Nature [doi] [abs]
 "Nonlinear Harmonic Forms and Indefinite Bochner Formulas " in
Hodge Theory and L^2Analysis, vol. 39
(2017), Higher Education Press
Tarokh, Vahid
 Ding, J; Tarokh, V; Yang, Y, Model Selection Techniques: An Overview,
Ieee Signal Processing Magazine, vol. 35 no. 6
(November, 2018),
pp. 1634, Institute of Electrical and Electronics Engineers (IEEE) [doi] [abs]
 Ding, J; Diao, E; Zhou, J; Tarokh, V, A Penalized Method for the Predictive Limit of Learning,
2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2018April
(September, 2018),
pp. 44144418, ISBN 9781538646588 [doi] [abs]
 Banerjee, T; Choi, J; Pesaran, B; Ba, D; Tarokh, V, Wavelet Shrinkage and Thresholding Based Robust Classification for BrainComputer Interface,
2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2018April
(September, 2018),
pp. 836840 [doi] [abs]
 Xiang, Y; Ding, J; Tarokh, V, Evolutionary Spectra Based on the Multitaper Method with Application to Stationarity Test,
2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2018April
(September, 2018),
pp. 39943998 [doi] [abs]
 Banerjee, T; Whipps, G; Gurram, P; Tarokh, V, Sequential Event Detection Using Multimodal Data in Nonstationary Environments,
2018 21st International Conference on Information Fusion, Fusion 2018
(September, 2018),
pp. 19401947 [doi] [abs]
 Banerjee, T; Choi, J; Pesaran, B; Ba, D; Tarokh, V, Classification of Local Field Potentials using Gaussian Sequence Model,
2018 Ieee Statistical Signal Processing Workshop, Ssp 2018
(August, 2018),
pp. 218222 [doi] [abs]
 Ding, J; Shahrampour, S; Heal, K; Tarokh, V, Analysis of Multistate Autoregressive Models,
Ieee Transactions on Signal Processing, vol. 66 no. 9
(May, 2018),
pp. 24292440 [doi]
 Magnusson, S; Enyioha, C; Li, N; Fischione, C; Tarokh, V, Convergence of Limited Communication Gradient Methods,
Ieee Transactions on Automatic Control, vol. 63 no. 5
(May, 2018),
pp. 13561371 [doi]
 Soloveychik, I; Xiang, Y; Tarokh, V, PseudoWigner Matrices,
Ieee Transactions on Information Theory, vol. 64 no. 4
(April, 2018),
pp. 31703178 [doi]
 Soloveychik, I; Xiang, Y; Tarokh, V, Symmetric PseudoRandom Matrices,
Ieee Transactions on Information Theory, vol. 64 no. 4
(April, 2018),
pp. 31793196 [doi]
 Ding, J; Zhou, J; Tarokh, V, Optimal prediction of data with unknown abrupt change points,
2017 Ieee Global Conference on Signal and Information Processing, Globalsip 2017 Proceedings, vol. 2018January
(March, 2018),
pp. 928932, ISBN 9781509059904 [doi] [abs]
 DIng, J; Xiang, Y; Shen, L; Tarokh, V, Detecting structural changes in dependent data,
2017 Ieee Global Conference on Signal and Information Processing, Globalsip 2017 Proceedings, vol. 2018January
(March, 2018),
pp. 750754, ISBN 9781509059904 [doi] [abs]
 Han, Q; Ding, J; Airoldi, E; Tarokh, V, Modeling nonlinearity in multidimensional dependent data,
2017 Ieee Global Conference on Signal and Information Processing, Globalsip 2017 Proceedings, vol. 2018January
(March, 2018),
pp. 206210, ISBN 9781509059904 [doi] [abs]
 Soloveychik, I; Xiang, Y; Tarokh, V, Explicit symmetric pseudorandom matrices,
Ieee International Symposium on Information Theory Proceedings, vol. 2018January
(January, 2018),
pp. 424428, ISBN 9781509030972 [doi] [abs]
 Shahrampour, S; Tarokh, V, Nonlinear sequential accepts and rejects for identification of top arms in stochastic bandits,
55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017, vol. 2018January
(January, 2018),
pp. 228235 [doi] [abs]
 Soloveychik, I; Tarokh, V; Paulson, JA, On the spectral norms of pseudowigner and related matrices,
55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017, vol. 2018January
(January, 2018),
pp. 6166 [doi] [abs]
 Enyioha, C; Magnusson, S; Heal, K; Li, N; Fischione, C; Tarokh, V, On Variability of Renewable Energy and Online Power Allocation,
Ieee Transactions on Power Systems, vol. 33 no. 1
(January, 2018),
pp. 451462 [doi]
 Ding, J; Zhou, J; Tarokh, V, Asymptotically Optimal Prediction for TimeVarying Data Generating Processes,
Ieee Transactions on Information Theory
(January, 2018) [doi] [abs]
 Magnusson, S; Enyioha, C; Li, N; Fichione, C; Tarokh, V, Communication Complexity of Dual Decomposition Methods for Distributed Resource Allocation Optimization,
Ieee Journal of Selected Topics in Signal Processing
(2018),
pp. 11 [doi]
 Magnússon, S; Enyioha, C; Li, N; Fischione, C; Tarokh, V, Convergence of Limited Communication Gradient Methods.,
Ieee Trans. Automat. Contr., vol. 63
(2018),
pp. 13561371
 Banerjee, T; Whipps, GT; Gurram, P; Tarokh, V, Cyclostationary Statistical Models and Algorithms for Anomaly Detection Using MultiModal Data.,
Corr, vol. abs/1807.06945
(2018)
 Banerjee, T; Choi, JS; Pesaran, B; Ba, D; Tarokh, V, Classification of Local Field Potentials using Gaussian Sequence Model.,
Ssp
(2018),
pp. 683687, IEEE, ISBN 9781538615713
 Banerjee, T; Whipps, GT; Gurram, P; Tarokh, V, Sequential Event Detection Using Multimodal Data in Nonstationary Environments.,
Fusion
(2018),
pp. 19401947, IEEE, ISBN 9780996452762
 Magnússon, S; Enyioha, C; Li, N; Fischione, C; Tarokh, V, Communication Complexity of Dual Decomposition Methods for Distributed Resource Allocation Optimization.,
J. Sel. Topics Signal Processing, vol. 12
(2018),
pp. 717732
 Shahrampour, S; Beirami, A; Tarokh, V, On DataDependent Random Features for Improved Generalization in Supervised Learning., edited by McIlraith, SA; Weinberger, KQ,
Aaai
(2018),
pp. 40264033, AAAI Press
 Soloveychik, I; Tarokh, V, Stationary Geometric Graphical Model Selection.,
Corr, vol. abs/1806.03571
(2018)
 Ding, J; Tarokh, V; Yang, JY, Bridging AIC and BIC: A New Criterion for Autoregression.,
Ieee Trans. Information Theory, vol. 64
(2018),
pp. 40244043
 Han, Q; Ding, J; Airoldi, EM; Tarokh, V, SLANTS: Sequential Adaptive Nonlinear Modeling of Time Series,
Ieee Transactions on Signal Processing, vol. 65 no. 19
(October, 2017),
pp. 49945005 [doi]
 Boyer, R; Babadi, B; Kalouptsidis, N; Tarokh, V, Asymptotic Achievability of the CramerRao Bound for Noisy Compressive Sampling (vol 57, pg 1233, 2009),
Ieee Transactions on Signal Processing, vol. 65 no. 18
(September, 2017),
pp. 49734974, IEEEINST ELECTRICAL ELECTRONICS ENGINEERS INC [doi]
 Ding, J; Xiang, Y; Shen, L; Tarokh, V, Multiple Change Point Analysis: Fast Implementation and Strong Consistency,
Ieee Transactions on Signal Processing, vol. 65 no. 17
(September, 2017),
pp. 44954510 [doi]
 Shahrampour, S; Noshad, M; Tarokh, V, On Sequential Elimination Algorithms for BestArm Identification in MultiArmed Bandits,
Ieee Transactions on Signal Processing, vol. 65 no. 16
(August, 2017),
pp. 42814292 [doi]
 Deng, Z; Ding, J; Heal, K; Tarokh, V, The number of independent sets in hexagonal graphs,
Ieee International Symposium on Information Theory Proceedings
(August, 2017),
pp. 29102914, ISBN 9781509040964 [doi] [abs]
 Soloveychik, I; Xiang, Y; Tarokh, V, Pseudowigner matrices from dual BCH codes,
Ieee International Symposium on Information Theory Proceedings
(August, 2017),
pp. 13811385, ISBN 9781509040964 [doi] [abs]
 Jeong, S; Kang, J; Pahlavan, K; Tarokh, V, Fundamental Limits of TOA/DOA and Inertial Measurement UnitBased Wireless Capsule Endoscopy Hybrid Localization,
International Journal of Wireless Information Networks, vol. 24 no. 2
(June, 2017),
pp. 169179 [doi]
 Farhadi, H; Xiang, Y; Jeong, S; Li, X; Guo, N; Sepulcre, J; Tarokh, V; Li, Q, Inferring the causality network of Abeta and Tau accumulation in the aging brain: a statistical inference approach,
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine, vol. 58
(May, 2017),
pp. 2 pages, SOC NUCLEAR MEDICINE INC
 Wei, L; Sarwate, AD; Corander, J; Hero, A; Tarokh, V, Analysis of a privacypreserving PCA algorithm using random matrix theory,
2016 Ieee Global Conference on Signal and Information Processing, Globalsip 2016 Proceedings
(April, 2017),
pp. 13351339, ISBN 9781509045457 [doi] [abs]
 Enyioha, C; Magnússon, S; Heal, K; Li, N; Fischione, C; Tarokh, V, Robustness analysis for an online decentralized descent power allocation algorithm,
2016 Information Theory and Applications Workshop, Ita 2016
(March, 2017), ISBN 9781509025299 [doi] [abs]
 Kuiper, PK; Kolitz, SE; Tarokh, V, Base camp quality of life standardization and improvement,
Proceedings International Carnahan Conference on Security Technology
(January, 2017), ISBN 9781509010707 [doi] [abs]
 Kurien, BG; Ashcom, JB; Shah, VN; Rachlin, Y; Tarokh, V, Robust interferometric imaging via priorless phase recovery: redundant spacing calibration with generalizedclosure phases,
Monthly Notices of the Royal Astronomical Society, vol. 464 no. 2
(January, 2017),
pp. 23562376 [doi]
 Jeong, S; Li, X; Yang, J; Li, Q; Tarokh, V, Dictionary learning and sparse codingbased denoising for highresolution task functional connectivity MRI analysis,
Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10541 LNCS
(January, 2017),
pp. 4552, ISBN 9783319673882 [doi] [abs]
 Beirami, A; Razaviyayn, M; Shahrampour, S; Tarokh, V, On optimal generalizability in parametric learning,
Advances in Neural Information Processing Systems, vol. 2017December
(January, 2017),
pp. 34563466 [abs]
 Shahrampour, S; Noshad, M; Ding, J; Tarokh, V, Online Learning for Multimodal Data Fusion with Application to Object Recognition,
Ieee Transactions on Circuits and Systems Ii: Express Briefs, vol. 65II
(2017),
pp. 11 [doi]
 Shahrampour, S; Beirami, A; Tarokh, V, On DataDependent Random Features for Improved Generalization in Supervised Learning.,
Corr, vol. abs/1712.07102
(2017)
 Beirami, A; Razaviyayn, M; Shahrampour, S; Tarokh, V, On Optimal Generalizability in Parametric Learning., edited by Guyon, I; Luxburg, UV; Bengio, S; Wallach, HM; Fergus, R; Vishwanathan, SVN; Garnett, R,
Nips
(2017),
pp. 34583468
 Soloveychik, I; Xiang, Y; Tarokh, V, PseudoWigner Matrices from Dual BCH Codes.,
Corr, vol. abs/1701.05544
(2017)
 Deng, Z; Ding, J; Heal, K; Tarokh, V, The number of independent sets in hexagonal graphs.,
Isit
(2017),
pp. 29102914, IEEE, ISBN 9781509040964
 Jeong, S; Li, X; Yang, J; Li, Q; Tarokh, V, Dictionary Learning and Sparse CodingBased Denoising for HighResolution Task Functional Connectivity MRI Analysis., edited by Wang, Q; Shi, Y; Suk, HI; Suzuki, K,
Mlmi@Miccai, vol. 10541
(2017),
pp. 4552, SPRINGER, ISBN 9783319673882
 Boyer, R; Babadi, B; Kalouptsidis, N; Tarokh, V, Corrections to "Asymptotic Achievability of the CramérRao Bound for Noisy Compressive Sampling".,
Ieee Trans. Signal Processing, vol. 65
(2017),
pp. 49734974
 Shahrampour, S; Tarokh, V, Nonlinear Sequential Accepts and Rejects for Identification of Top Arms in Stochastic Bandits.,
Corr, vol. abs/1707.02649
(2017)
Tralie, Christopher
 Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J, Geometric CrossModal Comparison of Heterogeneous Sensor Data,
Proceedings of the 39th Ieee Aerospace Conference
(March, 2018) [abs]
 Tralie, CJ, SelfSimilarity Based Time Warping
(November, 2017) [abs]
 Tralie, C, Moebius Beats: The Twisted Spaces of Sliding Window Audio Novelty Functions with Rhythmic Subdivisions
(November, 2017) [abs]
 Tralie, CJ, Early MFCC And HPCP Fusion for Robust Cover Song Identification,
18th International Society for Music Information Retrieval (ISMIR)
(October, 2017) [abs]
 Tralie, CJ; Perea, JA, (Quasi)Periodicity Quantification in Video Data, Using Topology, vol. 11 no. 2
(April, 2017),
pp. 10491077 [doi] [abs]
TurnageButterbaugh, Caroline
 Conrey, JB; TurnageButterbaugh, CL, On rgaps between zeros of the Riemann zetafunction,
Bulletin of the London Mathematical Society
(January, 2018) [doi] [abs]
 Best, A; Dynes, P; Edelsbrunner, X; McDonald, B; Miller, SJ; Tor, K; TurnageButterbaugh, C; Weinstein, M, Benford Behavior of Generalized Zeckendorf Decompositions,
Springer Proceedings in Mathematics and Statistics, vol. 220
(January, 2017),
pp. 2537, Springer [doi] [abs]
 Pierce, LB; TurnageButterbaugh, CL; Wood, MM, An effective Chebotarev density theorem for families of number fields,
with an application to $\ell$torsion in class groups,
(submitted)
(2017) [abs]
Vafaee, Faramarz
 Greene, JE; Lewallen, S; Vafaee, F, (1, 1) Lspace knots,
Compositio Mathematica, vol. 154 no. 5
(May, 2018),
pp. 918933, CAMBRIDGE UNIV PRESS [doi] [abs]
Venakides, Stephanos
 Aristotelous, AC; Crawford, JM; Edwards, GS; Kiehart, DP; Venakides, S, Mathematical models of dorsal closure.,
Progress in Biophysics and Molecular Biology, vol. 137
(September, 2018),
pp. 111131 [doi] [abs]
 PerezArancibia, C; Shipman, S; Turc, C; Venakides, S, DDM solutions of quasiperiodic transmission problems in layered
media via robust boundary integral equations at all frequencies
(December, 2017)
 Bruno, OP; Shipman, SP; Turc, C; Venakides, S, Threedimensional quasiperiodic shifted Green function throughout the spectrum, including Wood anomalies,
Proceedings. Mathematical, Physical, and Engineering Sciences, vol. 473 no. 2207
(November, 2017) [doi] [abs]
 Kiehart, DP; Crawford, JM; Aristotelous, A; Venakides, S; Edwards, GS, Cell Sheet Morphogenesis: Dorsal Closure in Drosophila melanogaster as a Model System.,
Annual Review of Cell and Developmental Biology, vol. 33
(October, 2017),
pp. 169202 [doi] [abs]
Viel, Shira
 Barnard, E; Meehan, E; Reading, N; Viel, S, Universal Geometric Coefficients for the FourPunctured Sphere,
Annals of Combinatorics, vol. 22 no. 1
(March, 2018),
pp. 144 [doi]
Wang, Jiuya
 Boston, N; Wang, J, The 2class tower of ℚ(√5460),
in Springer Proceedings in Mathematics and Statistics, vol. 251
(January, 2018),
pp. 7180 [doi] [abs]
Watson, Alexander
 Watson, A; Weinstein, MI, Wavepackets in Inhomogeneous Periodic Media: Propagation Through a OneDimensional Band Crossing,
Communications in Mathematical Physics, vol. 363 no. 2
(October, 2018),
pp. 655698 [doi] [abs]
 Watson, AB; Lu, J; Weinstein, MI, Wavepackets in inhomogeneous periodic media: Effective particlefield dynamics and Berry curvature,
Journal of Mathematical Physics, vol. 58 no. 2
(February, 2017),
pp. 021503021503 [doi]
Witelski, Thomas P.
(search)
 Chiou, JG; Ramirez, SA; Elston, TC; Witelski, TP; Schaeffer, DG; Lew, DJ, Principles that govern competition or coexistence in RhoGTPase driven polarization.,
Plos Computational Biology, vol. 14 no. 4
(April, 2018),
pp. e1006095 [doi] [abs]
 Ji, H; Witelski, TP, Instability and dynamics of volatile thin films,
Physical Review Fluids, vol. 3 no. 2
(February, 2018) [doi] [abs]
 Gao, Y; Ji, H; Liu, JG; Witelski, TP, Global existence of solutions to a tear film model with locally elevated evaporation rates,
Physica D: Nonlinear Phenomena, vol. 350
(July, 2017),
pp. 1325 [doi]
 Ji, H; Witelski, TP, Finitetime thin film rupture driven by modified evaporative loss,
Physica D: Nonlinear Phenomena, vol. 342
(March, 2017),
pp. 115 [doi]
 Gao, Y; Ji, H; Liu, JG; P. Witelski, T, A vicinal surface model for epitaxial growth with logarithmic free energy,
Discrete & Continuous Dynamical Systems B, vol. 22 no. 11
(2017),
pp. 121 [doi]
Wong, Jeffrey T
 Mavromoustaki, A; Wang, L; Wong, J; Bertozzi, AL, Surface tension effects for particle settling and resuspension in viscous thin films,
Nonlinearity, vol. 31 no. 7
(July, 2018),
pp. 31513173 [doi] [abs]
Wu, HauTieng
 Katz, O; Talmon, R; Lo, YL; Wu, HT, Alternating diffusion maps for multimodal data fusion,
Information Fusion, vol. 45
(January, 2019),
pp. 346360 [doi]
 Alagapan, S; Shin, HW; Fröhlich, F; Wu, HT, Diffusion geometry approach to efficiently remove electrical stimulation artifacts in intracranial electroencephalography.,
Journal of Neural Engineering
(November, 2018) [doi] [abs]
 Lin, CY; Wu, HT, Embeddings of Riemannian manifolds with finite eigenvector fields of connection Laplacian,
Calculus of Variations and Partial Differential Equations, vol. 57 no. 5
(October, 2018) [doi] [abs]
 Malik, J; Lo, YL; Wu, HT, Sleepwake classification via quantifying heart rate variability by convolutional neural network,
Physiological Measurement, vol. 39 no. 8
(August, 2018) [doi] [abs]
 Wu, HT; Wu, JC; Huang, PC; Lin, TY; Wang, TY; Huang, YH; Lo, YL, PhenotypeBased and SelfLearning InterIndividual Sleep Apnea Screening With a Level IVLike Monitoring System,
Frontiers in Physiology, vol. 9
(July, 2018) [doi]
 Wu, HT; Liu, YW, Analyzing transientevoked otoacoustic emissions by concentration of frequency and time,
The Journal of the Acoustical Society of America, vol. 144 no. 1
(July, 2018),
pp. 448466 [doi] [abs]
 Liu, TC; Wu, HT; Chen, YH; Fang, TY; Wang, PC; Liu, YW, Analysis of clickevoked otoacoustic emissions by concentration of frequency and time: Preliminary results from normal hearing and Ménière's disease ears,
Aip Conference Proceedings, vol. 1965
(May, 2018), ISBN 9780735416703 [doi] [abs]
 Wu, HT; Soliman, EZ, A new approach for analysis of heart rate variability and QT variability in longterm ECG recording.,
Biomedical Engineering Online, vol. 17 no. 1
(May, 2018),
pp. 54 [doi] [abs]
 Frasch, MG; Lobmaier, SM; Stampalija, T; Desplats, P; Pallarés, ME; Pastor, V; Brocco, MA; Wu, HT; Schulkin, J; Herry, CL; Seely, AJE; Metz, GAS; Louzoun, Y; Antonelli, MC, Noninvasive biomarkers of fetal brain development reflecting prenatal stress: An integrative multiscale multispecies perspective on data collection and analysis,
Neuroscience and Biobehavioral Reviews
(May, 2018) [doi]
 Zhang, JT; Cheng, MY; Wu, HT; Zhou, B, A new test for functional oneway ANOVA with applications to ischemic heart screening,
Computational Statistics & Data Analysis
(May, 2018) [doi]
 Wu, JC; Wang, CW; Huang, YH; Wu, HT; Huang, PC; Lo, YL, A Portable Monitoring System with Automatic Event Detection for Sleep Apnea LevelIV Evaluation,
Proceedings Ieee International Symposium on Circuits and Systems, vol. 2018May
(April, 2018), ISBN 9781538648810 [doi] [abs]
 Shen, C; Frasch, MG; Wu, HT; Herry, CL; Cao, M; Desrochers, A; Fecteau, G; Burns, P, Noninvasive acquisition of fetal ECG from the maternal xyphoid process: a feasibility study in pregnant sheep and a call for open data sets.,
Physiological Measurement, vol. 39 no. 3
(March, 2018),
pp. 035005 [doi] [abs]
 Wu, HT; Wu, N, Think globally, fit locally under the manifold setup: Asymptotic analysis of locally linear embedding,
The Annals of Statistics, vol. 46 no. 6B
(January, 2018),
pp. 38053837, INST MATHEMATICAL STATISTICS [doi] [abs]
 Talmon, R; Wu, HT, Latent common manifold learning with alternating diffusion: Analysis and applications,
Applied and Computational Harmonic Analysis
(January, 2018) [doi]
 Kowalski, M; Meynard, A; Wu, HT, Convex Optimization approach to signals with fast varying instantaneous frequency,
Applied and Computational Harmonic Analysis, vol. 44 no. 1
(January, 2018),
pp. 89122 [doi]
 Tan, C; Zhang, L; Wu, HT, A Novel Blaschke Unwinding Adaptive Fourier Decomposition based Signal Compression Algorithm with Application on ECG Signals,
Ieee Journal of Biomedical and Health Informatics
(2018),
pp. 11 [doi] [abs]
 Wu, HK; Ko, YS; Lin, YS; Wu, HT; Tsai, TH; Chang, HH, Corrigendum to "The correlation between pulse diagnosis and constitution identification in traditional Chinese medicine" [Complementary Ther. Med. 30 (2017) 107112].,
Complementary Therapies in Medicine, vol. 35
(December, 2017),
pp. 145 [doi]
 Chao, YS; Wu, HT; Scutari, M; Chen, TS; Wu, CJ; Durand, M; Boivin, A, A network perspective on patient experiences and health status: the Medical Expenditure Panel Survey 2004 to 2011.,
Bmc Health Services Research, vol. 17 no. 1
(August, 2017),
pp. 579 [doi] [abs]
 Lin, TY; Fang, YF; Huang, SH; Wang, TY; Kuo, CH; Wu, HT; Kuo, HP; Lo, YL, Capnography monitoring the hypoventilation during the induction of bronchoscopic sedation: A randomized controlled trial.,
Scientific Reports, vol. 7 no. 1
(August, 2017),
pp. 8685 [doi] [abs]
 Georgiou, A; BelloRivas, J; Gear, C; Wu, HT; Chiavazzo, E; Kevrekidis, I, An Exploration Algorithm for Stochastic Simulators Driven by Energy Gradients,
Entropy, vol. 19 no. 7
(July, 2017),
pp. 294294 [doi]
 Malik, J; Reed, N; Wang, CL; Wu, HT, Singlelead fwave extraction using diffusion geometry.,
Physiological Measurement, vol. 38 no. 7
(June, 2017),
pp. 13101334 [doi] [abs]
 Sheu, YL; Hsu, LY; Chou, PT; Wu, HT, Entropybased timevarying window width selection for nonlineartype time–frequency analysis,
International Journal of Data Science and Analytics, vol. 3 no. 4
(June, 2017),
pp. 231245 [doi]
 Herry, CL; Frasch, M; Seely, AJ; Wu, HT, Heart beat classification from singlelead ECG using the synchrosqueezing transform.,
Physiological Measurement, vol. 38 no. 2
(February, 2017),
pp. 171187 [doi] [abs]
 Wu, HK; Ko, YS; Lin, YS; Wu, HT; Tsai, TH; Chang, HH, The correlation between pulse diagnosis and constitution identification in traditional Chinese medicine.,
Complementary Therapies in Medicine, vol. 30
(February, 2017),
pp. 107112 [doi] [abs]
 Coifman, RR; Steinerberger, S; Wu, HT, Carrier frequencies, holomorphy. And unwinding,
Siam Journal on Mathematical Analysis, vol. 49 no. 6
(January, 2017),
pp. 48384864 [doi] [abs]
 Li, R; Frasch, MG; Wu, HT, Efficient FetalMaternal ECG Signal Separation from Two Channel Maternal Abdominal ECG via DiffusionBased Channel Selection.,
Frontiers in Physiology, vol. 8
(January, 2017),
pp. 277 [doi] [abs]
 Frasch, MG; Boylan, GB; Wu, HT; Devane, D, Commentary: Computerised interpretation of fetal heart rate during labour (INFANT): a randomised controlled trial.,
Frontiers in Physiology, vol. 8
(January, 2017),
pp. 721 [doi]
 Cicone, A; Wu, HT, How NonlinearType TimeFrequency Analysis Can Help in Sensing Instantaneous Heart Rate and Instantaneous Respiratory Rate from Photoplethysmography in a Reliable Way.,
Frontiers in Physiology, vol. 8
(January, 2017),
pp. 701 [doi] [abs]
 Liu, WT; Wu, HT; Juang, JN; Wisniewski, A; Lee, HC; Wu, D; Lo, YL, Prediction of the severity of obstructive sleep apnea by anthropometric features via support vector machine.,
Plos One, vol. 12 no. 5
(January, 2017),
pp. e0176991 [doi] [abs]
 Lin, YT; Wu, HT, ConceFT for TimeVarying Heart Rate Variability Analysis as a Measure of Noxious Stimulation During General Anesthesia.,
Ieee Transactions on Bio Medical Engineering, vol. 64 no. 1
(January, 2017),
pp. 145154 [doi] [abs]
 Wu, HT, Embedding Riemannian manifolds by the heat kernel of the connection Laplacian,
Advances in Mathematics, vol. 304
(January, 2017),
pp. 10551079 [doi]
Wu, Nan
 Wu, HT; Wu, N, Think globally, fit locally under the manifold setup: Asymptotic analysis of locally linear embedding,
The Annals of Statistics, vol. 46 no. 6B
(January, 2018),
pp. 38053837 [doi] [abs]
Yang, Haizhao
(search)
 Lu, J; Yang, H, A cubic scaling algorithm for excited states calculations in particle–particle random phase approximation,
Journal of Computational Physics, vol. 340
(July, 2017),
pp. 297308 [doi]
 Li, Y; Yang, H; Ying, L, Multidimensional butterfly factorization,
Applied and Computational Harmonic Analysis
(April, 2017), Elsevier, ISSN 1096603X [arXiv:1509.07925], [repository], [doi]
 Cornelis, B; Yang, H; Goodfriend, A; Ocon, N; Lu, J; Daubechies, I, Removal of Canvas Patterns in Digital Acquisitions of Paintings.,
IEEE Transactions on Image Processing, vol. 26 no. 1
(January, 2017),
pp. 160171, Institute of Electrical and Electronics Engineers (IEEE), ISSN 19410042 [repository], [doi] [abs]
 Lu, J; Yang, H, Preconditioning Orbital Minimization Method for Planewave Discretization,
Multiscale Modeling & Simulation, vol. 15 no. 1
(January, 2017),
pp. 254273 [repository], [doi] [abs]
 Li, Y; Yang, H, Interpolative Butterfly Factorization,
SIAM Journal on Scientific Computing, vol. 39 no. 2
(January, 2017),
pp. A503A531 [1605.03616], [doi]
 Yang, H, Statistical analysis of synchrosqueezed transforms,
Applied and Computational Harmonic Analysis
(January, 2017), Elsevier, ISSN 1096603X [repository], [doi]
Zhou, Zhennan
 Liu, JG; Ma, Z; Zhou, Z, Explicit and Implicit TVD Schemes for Conservation Laws with Caputo Derivatives,
Journal of Scientific Computing, vol. 72 no. 1
(July, 2017),
pp. 291313 [doi] [abs]
 Lu, J; Zhou, Z, Path integral molecular dynamics with surface hopping for thermal equilibrium sampling of nonadiabatic systems.,
Journal of Chemical Physics, vol. 146 no. 15
(April, 2017),
pp. 154110 [doi] [abs]
 Ma, Z; Zhang, Y; Zhou, Z, An improved semiLagrangian time splitting spectral method for the semiclassical Schrödinger equation with vector potentials using NUFFT,
Applied Numerical Mathematics, vol. 111
(January, 2017),
pp. 144159 [doi]
Zhu, Wei
 Zhu, W; Qiu, Q; Huang, J; Calderbank, AR; Sapiro, G; Daubechies, I, LDMNet: Low Dimensional Manifold Regularized Neural Networks.,
CoRR, vol. abs/1711.06246
(2017)
