- Agarwal, PK; Kyle, FOX; Salzman, O,
*An efficient algorithm for computing high-quality 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,
*Range-max queries on uncertain data*, Journal of Computer and System Sciences, vol. 94 (June, 2018), pp. 118-134 [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. 41-414 [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. 51-515, 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. 75-87, ISBN 9781450347068 [doi] [abs] - Agarwal, PK; Fox, K; Nath, A; Sidiropoulos, A; Wang, Y,
*Computing the Gromov-Hausdorff Distance for Metric Trees*, Acm Transactions on Algorithms, vol. 14 no. 2 (April, 2018), pp. 1-20 [doi] - Agarwal, PK; Fox, K; Nath, A,
*Maintaining reeb graphs of triangulated 2-manifolds*, 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. 2017-November (November, 2017), ISBN 9781450354905 [doi] [abs] - Agarwal, PK; Har-Peled, S; Suri, S; Yıldız, H; Zhang, W,
*Convex Hulls Under Uncertainty*, Algorithmica, vol. 79 no. 2 (October, 2017), pp. 340-367 [doi] - Agarwal, PK; Rubin, N; Sharir, M,
*Approximate nearest neighbor search amid higher-dimensional 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 k-regret 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. 71-716, 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. 1-41 [doi] - Wu, Y; Gao, J; Agarwal, PK; Yang, J,
*Finding diverse, high-value representatives on a surface of answers*, Proceedings of the Vldb Endowment, vol. 10 no. 7 (January, 2017), pp. 793-804 [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. 281-287, ISBN 9789811031557 [doi] [abs]

- 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 (September, 2018), pp. 839-854 [doi] [abs] - 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. 41-53, 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; Gurvich, I,
*Uniformly bounded regret in the multi-secretary problem*(October, 2017) [abs]

- Autry, EA; Bayliss, A; Volpert, VA,
*Biological control with nonlocal interactions*, Mathematical Biosciences, vol. 301 (July, 2018), pp. 129-146 [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. 3304-3331 [doi]

- 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. 2018-March (June, 2018), pp. 1-8, ISBN 9781538620144 [doi] [abs] - Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J,
*Geometric Cross-Modal Comparison of Heterogeneous Sensor Data*, Proceedings of the 39th Ieee Aerospace Conference (March, 2018) [abs]

- J. B. Greer and A. L. Bertozzi,
*H-1 solutions of a class of fourth order nonlinear equations for image processing*, Discrete And Continuous Dynamical Systems, vol. 10 no. 1-2 (2004), pp. 349 -- 366

- 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, 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. 345-357 [doi]

- Thompson, A; Calderbank, R,
*Sparse near-equiangular tight frames with applications in full duplex wireless communication*, 2017 Ieee Global Conference on Signal and Information Processing, Globalsip 2017 Proceedings, vol. 2018-January (March, 2018), pp. 868-872, 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. 361-368, 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. 166-170, ISBN 9781509040964 [doi] [abs] - Michelusi, N; Nokleby, M; Mitra, U; Calderbank, R,
*Multi-scale spectrum sensing in small-cell mm-wave cognitive wireless networks*, Ieee International Conference on Communications (July, 2017), ISBN 9781467389990 [doi] [abs] - Cnaan-On, I; Harms, A; Krolik, JL; Calderbank, AR,
*Run-length limited codes for backscatter communication*, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (June, 2017), pp. 6110-6114, ISBN 9781509041176 [doi] [abs] - Wang, L; Chen, M; Rodrigues, M; Wilcox, D; Calderbank, R; Carin, L,
*Information-Theoretic Compressive Measurement Design.*, Ieee Transactions on Pattern Analysis and Machine Intelligence, vol. 39 no. 6 (June, 2017), pp. 1150-1164 [doi] [abs] - Hadani, R; Rakib, S; Tsatsanis, M; Monk, A; Goldsmith, AJ; Molisch, AF; Calderbank, R,
*Orthogonal time frequency space modulation*, Ieee Wireless Communications and Networking Conference, Wcnc (May, 2017), ISBN 9781509041831 [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 Follow-up to Improve Quality of Screening for Autism.*, The Journal of Pediatrics, vol. 183 (April, 2017), pp. 133-139.e1 [doi] [abs]

- 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 Multiple-Window Short-Time Fourier Measurements*, Ieee Signal Processing Letters, vol. 24 no. 4 (April, 2017), pp. 372-376 [doi]

- 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. 48-64 [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. 4195-4204, 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 population-based screening study (China PEACE Million Persons Project)*, Lancet (London, England), vol. 390 no. 10112 (December, 2017), pp. 2549-2558 [doi]

- Dasgupta, S; Kakde, M; Ventullo, K,
*On the Gross-Stark Conjecture*, Annals of Mathematics, vol. 188 no. 3 (November, 2018), pp. 833-870 [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. 3257-3273 [doi] - Dasgupta, S; Spieß, M,
*Partial zeta values, Gross's tower of fields conjecture, and Gross-Stark units*, Journal of the European Mathematical Society, vol. 20 no. 11 (January, 2018), pp. 2643-2683 [doi] [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.*, Anatomical Record (Hoboken, N.J. : 2007), vol. 301 no. 4 (April, 2018), pp. 636-658 [doi] [abs] - Xu, J; Yang, H; Daubechies, I,
*Recursive diffeomorphism-based regression for shape functions*, Siam Journal on Mathematical Analysis, vol. 50 no. 1 (January, 2018), pp. 5-32 [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 Real-Valued Functions from Unsigned Coefficients with Respect to Wavelet and Other Frames*, Journal of Fourier Analysis and Applications, vol. 23 no. 6 (December, 2017), pp. 1480-1494 [doi] - Deligiannis, N; Mota, JFC; Cornelis, B; Rodrigues, MRD; Daubechies, I,
*Multi-Modal 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. 751-764 [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. 160-171 [doi] [abs] - Voronin, S; Daubechies, I,
*An iteratively reweighted least squares algorithm for sparse regularization*, in Contemporary Mathematics, vol. 693 (January, 2017), pp. 391-411 [doi] [abs] - Yin, R; Gao, T; Lu, YM; Daubechies, I,
*A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets*, Siam Journal on Imaging Sciences, vol. 10 no. 2 (January, 2017), pp. 711-750 [doi] - Fodor, G; Cornelis, B; Yin, R; Dooms, A; Daubechies, I,
*Cradle Removal in X-Ray Images of Panel Paintings*, Image Processing On Line, vol. 7 (2017), pp. 23-42 [doi]

- Zhang, Z; Jiang, W; Dolbow, JE; Spencer, BW,
*A modified moment-fitted integration scheme for X-FEM applications with history-dependent material data*, Computational Mechanics, vol. 62 no. 2 (August, 2018), pp. 233-252 [doi] [abs] - Peco, C; Liu, Y; Rhea, C; Dolbow, JE,
*Models and simulations of surfactant-driven fracture in particle rafts*, International Journal of Solids and Structures (January, 2018) [doi] [abs] - Peco, C; Chen, W; Liu, Y; Bandi, MM; Dolbow, JE; Fried, E,
*Influence of surface tension in the surfactant-driven fracture of closely-packed particulate monolayers.*, Soft Matter, vol. 13 no. 35 (September, 2017), pp. 5832-5841 [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. 1289-1314 [doi] - Stershic, AJ; Dolbow, JE; Moës, N,
*The Thick Level-Set model for dynamic fragmentation*, Engineering Fracture Mechanics, vol. 172 (March, 2017), pp. 39-60 [doi]

- Srivastava, S; Li, C; Dunson, DB,
*Scalable Bayes via barycenter in Wasserstein space*, Journal of Machine Learning Research, vol. 19 (August, 2018), pp. 1-35 [abs] - van den Boom, W; Mao, C; Schroeder, RA; Dunson, DB,
*Extrema-weighted feature extraction for functional data.*, Bioinformatics (Oxford, England), vol. 34 no. 14 (July, 2018), pp. 2457-2464 [doi] [abs] - Shterev, ID; Dunson, DB; Chan, C; Sempowski, GD,
*Bayesian Multi-Plate High-Throughput 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. 431-446 [doi] [abs] - Miller, JW; Dunson, DB,
*Robust Bayesian inference via coarsening*, Journal of the American Statistical Association (May, 2018), pp. 1-31 [doi] - Zhang, Z; Descoteaux, M; Zhang, J; Girard, G; Chamberland, M; Dunson, D; Srivastava, A; Zhu, H,
*Mapping population-based structural connectomes.*, Neuroimage, vol. 172 (May, 2018), pp. 130-145 [doi] [abs] - van den Boom, W; Schroeder, RA; Manning, MW; Setji, TL; Fiestan, G-O; Dunson, DB,
*Effect of A1C and Glucose on Postoperative Mortality in Noncardiac and Cardiac Surgeries.*, Diabetes Care, vol. 41 no. 4 (April, 2018), pp. 782-788 [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. 1-13 [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 two-photon 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. 1-40 [abs] - Wheeler, MW; Dunson, DB; Herring, AH,
*Bayesian Local Extremum Splines.*, Biometrika, vol. 104 no. 4 (December, 2017), pp. 939-952, Oxford University Press (OUP) [abs] - Shang, Y; Dunson, D; Song, J-S,
*Exploiting Big Data in Logistics Risk Assessment via Bayesian Nonparametrics*, Operations Research, vol. 65 no. 6 (December, 2017), pp. 1574-1588 [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. 1547-1552 [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. 1516-1530 [doi] [abs] - Reddy, A; Zhang, J; Davis, NS; Moffitt, AB; Love, CL; Waldrop, A; Leppa, S; Pasanen, A; Meriranta, L; Karjalainen-Lindsberg, M-L; 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; Bernal-Mizrachi, 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; Au-Yeung, RKH; Kwong, Y-L; 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. 481-494.e15 [doi] [abs] - Li, C; Srivastava, S; Dunson, DB,
*Simple, scalable and accurate posterior interval estimation*, Biometrika, vol. 104 no. 3 (September, 2017), pp. 665-680 [doi] [abs] - Lock, EF; Dunson, DB,
*Bayesian genome- and epigenome-wide association studies with gene level dependence.*, Biometrics, vol. 73 no. 3 (September, 2017), pp. 1018-1028 [doi] [abs] - Srivastava, S; Engelhardt, BE; Dunson, DB,
*Expandable factor analysis.*, Biometrika, vol. 104 no. 3 (September, 2017), pp. 649-663 [doi] [abs] - Guhaniyogi, R; Qamar, S; Dunson, DB,
*Bayesian tensor regression*, Journal of Machine Learning Research, vol. 18 (August, 2017), pp. 1-31 [abs] - Schaich Borg, J; Srivastava, S; Lin, L; Heffner, J; Dunson, D; Dzirasa, K; de Lecea, L,
*Rat intersubjective decisions are encoded by frequency-specific 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. 335-350 [doi] - Wang, L; Durante, D; Jung, RE; Dunson, DB,
*Bayesian network-response regression.*, Bioinformatics (Oxford, England), vol. 33 no. 12 (June, 2017), pp. 1859-1866 [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. 561-576 [doi] [abs] - Ovaskainen, O; Tikhonov, G; Dunson, D; Grøtan, V; Engen, S; Sæther, B-E; Abrego, N,
*How are species interactions structured in species-rich communities? A new method for analysing time-series data.*, Proceedings of the Royal Society B: Biological Sciences, vol. 284 no. 1855 (May, 2017), pp. 20170768-20170768 [doi] [abs] - Moffitt, AB; Ondrejka, SL; McKinney, M; Rempel, RE; Goodlad, JR; Teh, CH; Leppa, S; Mannisto, S; Kovanen, PE; Tse, E; Au-Yeung, RKH; Kwong, Y-L; 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,
*Enteropathy-associated T cell lymphoma subtypes are characterized by loss of function of SETD2.*, The Journal of Experimental Medicine, vol. 214 no. 5 (May, 2017), pp. 1371-1386 [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. 555-580 [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; Delfau-Larue, MH; Fataccioli, V; Czader, MB; Lossos, IS; Chapman-Fredricks, JR; Richards, KL; Fedoriw, Y; Ondrejka, SL; Hsi, ED; Low, L; Weisenburger, D; Chan, WC; Mehta-Shah, N; Horwitz, S; Bernal-Mizrachi, L; Flowers, CR; Beaven, AW; Parihar, M; Baseggio, L; Parrens, M; Moreau, A; Sujobert, P; Pilichowska, M; Evens, AM; Chadburn, A; Au-Yeung, RKH; Srivastava, G; Choi, WWL; Goodlad, JR; Aurer, I; Basic-Kinda, 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 T-cell Lymphoma.*, Cancer Discovery, vol. 7 no. 4 (April, 2017), pp. 369-379 [doi] [abs] - Tikhonov, G; Abrego, N; Dunson, D; Ovaskainen, O,
*Using joint species distribution models for evaluating how species-to-species associations depend on the environmental context*, edited by Warton, D, Methods in Ecology and Evolution, vol. 8 no. 4 (April, 2017), pp. 443-452 [doi] - Dunson, DB,
*Toward Automated Prior Choice*, Statistical Science, vol. 32 no. 1 (February, 2017), pp. 41-43 [doi] - Abrego, N; Dunson, D; Halme, P; Salcedo, I; Ovaskainen, O,
*Wood-inhabiting 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 LOG-LINEAR MODELS.*, The Annals of Statistics, vol. 45 no. 1 (January, 2017), pp. 1-38 [doi] [abs] - Lin, L; St Thomas, B; Zhu, H; Dunson, DB,
*Extrinsic local regression on manifold-valued data.*, Journal of the American Statistical Association, vol. 112 no. 519 (January, 2017), pp. 1261-1273 [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. 1516-1530 [doi] - Lin, L; Rao, V; Dunson, D,
*Bayesian nonparametric inference on the Stiefel manifold*, Statistica Sinica (2017) [doi]

- Ma, R; Durrett, R,
*A simple evolutionary game arising from the study of the role of igf-II in pancreatic cancer*, The Annals of Applied Probability, vol. 28 no. 5 (October, 2018), pp. 2896-2921 [doi] [abs] - Wang, Z; Durrett, R,
*Extrapolating weak selection in evolutionary games.*, Journal of Mathematical Biology (July, 2018) [doi] [abs] - Huo, R; Durrett, R,
*Latent voter model on locally tree-like random graphs*, Stochastic Processes and Their Applications, vol. 128 no. 5 (May, 2018), pp. 1590-1614 [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] - Nolen, JH; Cristali, I; Ranjan, V; Steinberg, J; Beckman, E; Durrett, R; Junge, M,
*Block size in Geometric(p)-biased permutations*, Electronic Communications in Probability, vol. 23 (2018), pp. 1-10 [doi] - Lopatkin, AJ; Meredith, HR; Srimani, JK; Pfeiffer, C; Durrett, R; You, L,
*Persistence and reversal of plasmid-mediated 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 stem-cell divisions in cancer risk*, Nature, vol. 548 no. 7666 (August, 2017), pp. E13-E14 [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. 6046-6051 [doi] - Bessonov, M; Durrett, R,
*Phase transitions for a planar quadratic contact process*, Advances in Applied Mathematics, vol. 87 (June, 2017), pp. 82-107 [doi]

- Lazar, R; Dym, N; Kushinsky, Y; Huang, Z; Ju, T; Lipman, Y,
*Robust optimization for topological surface reconstruction.*, Acm Trans. Graph., vol. 37 (2018), pp. 46:1-46:1 [doi] - Dym, N; Maron, H; Lipman, Y,
*DS++*, Acm Transactions on Graphics, vol. 36 no. 6 (November, 2017), pp. 1-14 [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. 1-10 [doi] - Dym, N; Lipman, Y,
*Exact Recovery with Symmetries for Procrustes Matching*, Siam Journal on Optimization, vol. 27 no. 3 (January, 2017), pp. 1513-1530 [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. 570-580 [doi]

- Getz, JR,
*Nonabelian fourier transforms for spherical representations*, Pacific Journal of Mathematics, vol. 294 no. 2 (January, 2018), pp. 351-373, Mathematical Sciences Publishers [doi] [abs]

- 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. 543-562, Springer Verlag [doi]

- 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. 723-750 [doi] - Hain, R,
*Deligne-Beilinson 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]

- 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. 2018-March (June, 2018), pp. 1-8, ISBN 9781538620144 [doi] [abs] - Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J,
*Geometric Cross-Modal 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; Bell-Pedersen, D; Blau, J; Brown, S; Ceriani, MF; Chen, Z; Chiu, JC; Cox, J; Crowell, AM; DeBruyne, JP; Dijk, D-J; DiTacchio, L; Doyle, FJ; Duffield, GE; Dunlap, JC; Eckel-Mahan, K; Esser, KA; FitzGerald, GA; Forger, DB; Francey, LJ; Fu, Y-H; 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; Sassone-Corsi, P; Sehgal, A; Sherrill-Mix, S; Skene, DJ; Storch, K-F; Takahashi, JS; Ueda, HR; Wang, H; Weitz, C; Westermark, PO; Wijnen, H; Xu, Y; Wu, G; Yoo, S-H; Young, M; Zhang, EE; Zielinski, T; Hogenesch, JB,
*Guidelines for Genome-Scale Analysis of Biological Rhythms.*, Journal of Biological Rhythms, vol. 32 no. 5 (October, 2017), pp. 380-393 [doi] [abs]

- He, S,
*Suppression of blow-up in parabolic–parabolic Patlak–Keller–Segel via strictly monotone shear flows*, Nonlinearity, vol. 31 no. 8 (August, 2018), pp. 3651-3688 [doi] - He, S; Tadmor, E,
*Global regularity of two-dimensional flocking hydrodynamics*, Comptes Rendus Mathematique, vol. 355 no. 7 (July, 2017), pp. 795-805 [doi] - Bedrossian, J; He, S,
*Suppression of Blow-Up in Patlak--Keller--Segel Via Shear Flows*, Siam Journal on Mathematical Analysis, vol. 49 no. 6 (January, 2017), pp. 4722-4766 [doi]

- Cao, Y; Feng, Y; Ryser, MD; Zhu, K; Herschlag, G; Cao, C; Marusak, K; Zauscher, S; You, L,
*Programmable assembly of pressure sensors using pattern-forming bacteria.*, Nature Biotechnology, vol. 35 no. 11 (November, 2017), pp. 1087-1093 [doi] [abs] - Herschlag, G; Ravier, R; Mattingly, JC,
*Evaluating Partisan Gerrymandering in Wisconsin*(September, 2017) [abs]

- 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. 1013-1030 [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] - 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. 2826-2854 [doi]

- 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. 1-37 [doi] - Kiselev, A; Tan, C,
*Finite time blow up in the hyperbolic Boussinesq system*, Advances in Mathematics, vol. 325 (February, 2018), pp. 34-55 [doi] [abs] - Choi, K; Hou, TY; Kiselev, A; Luo, G; Sverak, V; Yao, Y,
*On the Finite-Time Blowup of a One-Dimensional Model for the Three-Dimensional Axisymmetric Euler Equations*, Communications on Pure and Applied Mathematics, vol. 70 no. 11 (November, 2017), pp. 2218-2243 [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. 1253-1315 [doi]

- Aigerman, N; Kovalsky, SZ; Lipman, Y,
*Spherical orbifold tutte embeddings*, Acm Transactions on Graphics, vol. 36 no. 4 (July, 2017), pp. 1-13 [doi] - Shtengel, A; Poranne, R; Sorkine-Hornung, O; Kovalsky, SZ; Lipman, Y,
*Geometric optimization via composite majorization*, Acm Transactions on Graphics, vol. 36 no. 4 (July, 2017), pp. 1-11 [doi]

- 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. F692-F700 [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. F665-F676 [doi] [abs] - Layton, AT,
*Sweet success? SGLT2 inhibitors and diabetes.*, American Journal of Physiology. Renal Physiology, vol. 314 no. 6 (June, 2018), pp. F1034-F1035 [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. 253-264 [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. F643-F657 [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. 1850043-1850043 [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. 2512-2533 [doi] [abs] - Burt, T; Noveck, RJ; MacLeod, DB; Layton, AT; Rowland, M; Lappin, G,
*Intra-Target 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. 337-350 [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. 313-333 [doi] [abs] - Chen, Y; Sullivan, JC; Edwards, A; Layton, AT,
*Sex-specific 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. F174-F183 [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. F199-F209 [doi] [abs] - Chen, Y; Fry, BC; Layton, AT,
*Modeling glucose metabolism and lactate production in the kidney.*, Mathematical Biosciences, vol. 289 (July, 2017), pp. 116-129 [doi] [abs] - Layton, AT,
*A new microscope for the kidney: mathematics.*, American Journal of Physiology. Renal Physiology, vol. 312 no. 4 (April, 2017), pp. F671-F672 [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. 338-351 [doi] [abs]

- 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. F692-F700 [doi] [abs]

- 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. 1740004-1740004 [doi]

- Li, L; Liu, J-G; Lu, J,
*Fractional Stochastic Differential Equations Satisfying Fluctuation-Dissipation Theorem*, Journal of Statistical Physics, vol. 169 no. 2 (October, 2017), pp. 316-339 [doi] - Li, L; Xu, X; Spagnolie, SE,
*A Locally Gradient-Preserving Reinitialization for Level Set Functions*, Journal of Scientific Computing, vol. 71 no. 1 (April, 2017), pp. 274-302 [doi] - Li, L; Liu, J-G,
*A note on deconvolution with completely monotone sequences and discrete fractional calculus*, Quarterly of Applied Mathematics (2017), pp. 1-1 [doi]

- Li, Y; Ying, L,
*Distributed-memory 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 Radius-Controlled Rutile Nanowires*, Nano Letters, vol. 17 no. 9 (September, 2017), pp. 5264-5272 [doi] - 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. A503-A531 [doi]

- Feng, Y; Li, L; Liu, J-G; Xu, X,
*A note on one-dimensional time fractional ODEs*, Applied Mathematics Letters, vol. 83 (September, 2018), pp. 87-94 [doi] - Li, L; Liu, J-G; Wang, L,
*Cauchy problems for Keller–Segel type time–space fractional diffusion equation*, Journal of Differential Equations, vol. 265 no. 3 (August, 2018), pp. 1044-1096 [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. 73-94 [doi] [abs] - Chen, K; Li, Q; Liu, J-G,
*Online learning in optical tomography: a stochastic approach*, Inverse Problems, vol. 34 no. 7 (July, 2018), pp. 075010-075010 [doi] - Gao, Y; Liu, J-G; 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, J-G; 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. 5489-5526 [doi] [abs] - Li, L; Liu, J-G,
*p -Euler equations and p -Navier–Stokes equations*, Journal of Differential Equations, vol. 264 no. 7 (April, 2018), pp. 4707-4748 [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. 777-789 [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. 3963-3995, SIAM PUBLICATIONS [doi] [abs] - Gao, Y; Li, L; Liu, J-G,
*A Dispersive Regularization for the Modified Camassa--Holm Equation*, Siam Journal on Mathematical Analysis, vol. 50 no. 3 (January, 2018), pp. 2807-2838 [doi] - Li, L; Liu, J-G,
*A Generalized Definition of Caputo Derivatives and Its Application to Fractional ODEs*, Siam Journal on Mathematical Analysis, vol. 50 no. 3 (January, 2018), pp. 2867-2900 [doi] - Li, L; Liu, J-G; Lu, J,
*Fractional Stochastic Differential Equations Satisfying Fluctuation-Dissipation Theorem*, Journal of Statistical Physics, vol. 169 no. 2 (October, 2017), pp. 316-339 [doi] - Liu, J-G; Wang, L; Zhou, Z,
*Positivity-preserving and asymptotic preserving method for 2D Keller-Segal equations*, Mathematics of Computation, vol. 87 no. 311 (September, 2017), pp. 1165-1189 [doi] - Coquel, F; Jin, S; Liu, J-G; Wang, L,
*Entropic sub-cell shock capturing schemes via Jin-Xin relaxation and Glimm front sampling for scalar conservation laws*, Mathematics of Computation, vol. 87 no. 311 (September, 2017), pp. 1083-1126 [doi] - Liu, J-G; 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. 291-313 [doi] - Gao, Y; Ji, H; Liu, J-G; 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. 13-25 [doi] - Gao, Y; Liu, J-G; 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. 873-926 [doi] - Degond, P; Liu, J-G; Pego, RL,
*Coagulation–Fragmentation Model for Animal Group-Size Statistics*, Journal of Nonlinear Science, vol. 27 no. 2 (April, 2017), pp. 379-424 [doi] - Huang, H; Liu, J-G,
*Error estimate of a random particle blob method for the Keller-Segel equation*, Mathematics of Computation, vol. 86 no. 308 (February, 2017), pp. 2719-2744 [doi] - Liu, J-G; 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. 1461-1492 [doi] - Gao, Y; Liu, J-G; Lu, J,
*Weak Solution of a Continuum Model For Vicinal Surface in The Attachment-Detachment-Limited Regime*, Siam Journal on Mathematical Analysis, vol. 49 no. 3 (January, 2017), pp. 1705-1731 [doi] - Liu, J-G; Wang, J,
*A generalized Sz. Nagy inequality in higher dimensions and the critical thin film equation*, Nonlinearity, vol. 30 no. 1 (2017), pp. 35-60 [doi] - Degond, P; Liu, J-G; Merino-Aceituno, 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. 159-182 [doi] - Gao, Y; Liu, J-G,
*Global Convergence of a Sticky Particle Method for the Modified Camassa--Holm Equation*, Siam Journal on Mathematical Analysis, vol. 49 no. 2 (January, 2017), pp. 1267-1294 [doi] - Liu, J-G; 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. 2220-2245 [doi] - Gao, Y; Ji, H; Liu, J-G; 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. 1-21 [doi] - Huang, H; Liu, J-G,
*Discrete-in-time random particle blob method for the Keller–Segel equation and convergence analysis*, Communications in Mathematical Sciences, vol. 15 no. 7 (2017), pp. 1821-1842 [doi] [abs] - Degond, P; Herty, M; Liu, J-G,
*Mean-field games and model predictive control*, Communications in Mathematical Sciences, vol. 15 no. 5 (2017), pp. 1403-1422 [doi] - Li, L; Liu, J-G,
*A note on deconvolution with completely monotone sequences and discrete fractional calculus*, Quarterly of Applied Mathematics (2017), pp. 1-1 [doi]

- Cao, Y; Lu, J,
*Stochastic dynamical low-rank approximation method*, Journal of Computational Physics, vol. 372 (November, 2018), pp. 564-586 [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. 2781-2813 [doi] [abs] - Barthel, T; Lu, J,
*Fundamental Limitations for Measurements in Quantum Many-Body 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. 1188-1215 [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 Many-Body Spin Dynamics*, Siam Journal on Scientific Computing, vol. 40 no. 3 (January, 2018), pp. B706-B722 [doi] - Lu, J; Yang, H,
*Phase-space sketching for crystal image analysis based on synchrosqueezed transforms*, Siam Journal on Imaging Sciences, vol. 11 no. 3 (January, 2018), pp. 1954-1978, SIAM PUBLICATIONS [doi] [abs] - Yu, VW-Z; Corsetti, F; García, A; Huhn, WP; Jacquelin, M; Jia, W; Lange, B; Lin, L; Lu, J; Mi, W; Seifitokaldani, A; Vázquez-Mayagoitia, 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. 267-285 [doi] - Du, Q; Li, XH; Lu, J; Tian, X,
*A Quasi-nonlocal Coupling Method for Nonlocal and Local Diffusion Models*, Siam Journal on Numerical Analysis, vol. 56 no. 3 (January, 2018), pp. 1386-1404 [doi] - Dai, S; Li, B; Lu, J,
*Convergence of Phase-Field Free Energy and Boundary Force for Molecular Solvation*, Archive for Rational Mechanics and Analysis, vol. 227 no. 1 (January, 2018), pp. 105-147 [doi] - Cai, Z; Lu, J,
*A SURFACE HOPPING GAUSSIAN BEAM METHOD FOR HIGH-DIMENSIONAL TRANSPORT SYSTEMS*, Siam Journal on Scientific Computing, vol. 40 no. 5 (January, 2018), pp. B1277-B1301, SIAM PUBLICATIONS [doi] - Zhu, W; Qiu, Q; Wang, B; Lu, J; Sapiro, G; Daubechies, I,
*Stop memorizing: A data-dependent 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. 187-202 [doi] - Cao, Y; Lu, J,
*Lindblad equation and its semiclassical limit of the Anderson-Holstein model*, Journal of Mathematical Physics, vol. 58 no. 12 (December, 2017), pp. 122105-122105 [doi] [abs] - Lu, J; Zhou, Z,
*Frozen Gaussian approximation with surface hopping for mixed quantum-classical dynamics: A mathematical justification of fewest switches surface hopping algorithms*, Mathematics of Computation, vol. 87 no. 313 (November, 2017), pp. 2189-2232 [doi] - Li, L; Liu, J-G; Lu, J,
*Fractional Stochastic Differential Equations Satisfying Fluctuation-Dissipation Theorem*, Journal of Statistical Physics, vol. 169 no. 2 (October, 2017), pp. 316-339 [doi] [abs] - Li, Q; Lu, J; Sun, W,
*A convergent method for linear half-space kinetic equations*, ESAIM. Mathematical modelling and numerical analysis = ESAIM. Modelisation mathematique et analyse numerique : M=2AN, vol. 51 no. 5 (September, 2017), pp. 1583-1615 [doi] - Lu, J; Steinerberger, S,
*A variation on the Donsker-Varadhan 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. 297-308 [doi] - Gao, Y; Liu, J-G; 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. 873-926 [doi] - Li, C; Lu, J; Yang, W,
*On extending Kohn-Sham 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. 87-103 [doi] - Huang, Y; Lu, J; Ming, P,
*A Hybrid Global-local Numerical Method for Multiscale PDEs*(April, 2017) [abs] - Li, L; Liu, J-G; Lu, J,
*Fractional stochastic differential equations satisfying fluctuation-dissipation 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 particle-field dynamics and Berry curvature*, Journal of Mathematical Physics, vol. 58 no. 2 (February, 2017), pp. 021503-021503 [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. 242-258 [doi] - Li, XH; Lu, J,
*Quasi-nonlocal Coupling of Nonlocal Diffusions*, Siam Journal on Numerical Analysis, vol. 55 no. 5 (January, 2017), pp. 2394-2415 [doi] - Lu, J; Yang, H,
*Preconditioning Orbital Minimization Method for Planewave Discretization*, Multiscale Modeling & Simulation, vol. 15 no. 1 (January, 2017), pp. 254-273 [doi] - Lin, L; Lu, J; Vanden-Eijnden, 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 Half-Space Equations*, Journal of Statistical Physics, vol. 166 no. 2 (January, 2017), pp. 398-433 [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. 1694-1718 [doi] [abs] - Gao, Y; Liu, J-G; Lu, J,
*Weak Solution of a Continuum Model For Vicinal Surface in The Attachment-Detachment-Limited Regime*, Siam Journal on Mathematical Analysis, vol. 49 no. 3 (January, 2017), pp. 1705-1731 [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. 160-171 [doi] [abs]

- 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. 3005-3047 [doi]

- 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. 761-774 [doi] [abs]

- Escande, P; Debarnot, V; Maggioni, M; Mangeat, T; Weiss, P,
*Learning and exploiting physics of degradations*, Optics Infobase Conference Papers, vol. Part F105-MATH 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. 504-567 [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. 2015-June (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. 1-32 [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. 909-951 [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. 498-506, ISBN 9781611974874 [abs] - Crosskey, M; Maggioni, M,
*ATLAS: A Geometric Approach to Learning High-Dimensional Stochastic Systems Near Manifolds*, Multiscale Modeling & Simulation, vol. 15 no. 1 (January, 2017), pp. 110-156 [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,
*QEEG-based 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,
*Hyper-spectral 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/TR-1289 (2004)

- Malen, G,
*Homomorphism complexes and -cores*, Discrete Mathematics, vol. 341 no. 9 (September, 2018), pp. 2567-2574 [doi]

**Mattingly, Jonathan C.**
(search)

- Bakhtin, Y; Hurth, T; Lawley, SD; Mattingly, JC,
*Smooth invariant densities for random switching on the torus*, Nonlinearity, vol. 31 no. 4 (April, 2018), pp. 1331-1350 [doi] [abs] - Herschlag, G; Ravier, R; Mattingly, JC,
*Evaluating Partisan Gerrymandering in Wisconsin*(September, 2017) [abs] - Johndrow, JE; Mattingly, JC,
*Coupling and Decoupling to bound an approximating Markov Chain*(July, 2017) [abs] - Glatt-Holtz, NE; Herzog, DP; Mattingly, JC,
*Scaling and Saturation in Infinite-Dimensional Control Problems with Applications to Stochastic Partial Differential Equations*, Annals of Pde (June, 2017) [abs] - Glatt-Holtz, N; Mattingly, JC; Richards, G,
*On Unique Ergodicity in Nonlinear Stochastic Partial Differential Equations*, Journal of Statistical Physics, vol. 166 no. 3-4 (February, 2017), pp. 618-649 [1512.04126v1], [doi] [abs]

- Motta, FC,
*Topological Data Analysis: Developments and Applications*, in Advances in Nonlinear Geosciences, edited by Tsonis, A (November, 2017), pp. 369-391, Springer, ISBN 3319588958 [abs] - Cho, C-Y; Motta, FC; Kelliher, CM; Deckard, A; Haase, SB,
*Reconciling conflicting models for global control of cell-cycle transcription.*, Cell Cycle, vol. 16 no. 20 (October, 2017), pp. 1965-1978 [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. 845-858 [doi]

- 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 MYC-Driven Evolutionary Convergence.*, Cell Reports, vol. 21 no. 10 (December, 2017), pp. 2796-2812 [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. 1-12 [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. 288-328 [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. 5156-5165, ISBN 9781510855144 [abs]

- Nagy, Á,
*The Berry Connection of the Ginzburg–Landau Vortices*, Communications in Mathematical Physics, vol. 350 no. 1 (February, 2017), pp. 105-128 [doi]

- Ekholm, T; Ng, L; Shende, V,
*A complete knot invariant from contact homology*, Inventiones Mathematicae, vol. 211 no. 3 (March, 2018), pp. 1149-1200 [doi] [abs] - Cieliebak, K; Ekholm, T; Latschev, J; Ng, L,
*Knot contact homology, string topology, and the cord algebra*, vol. 4 (January, 2017), pp. 661-780 [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. 1845-1874

- Nolen, JH; Cristali, I; Ranjan, V; Steinberg, J; Beckman, E; Durrett, R; Junge, M,
*Block size in Geometric(p)-biased permutations*, Electronic Communications in Probability, vol. 23 (2018), pp. 1-10 [doi] - Mourrat, J-C; Nolen, J,
*Scaling limit of the corrector in stochastic homogenization*, The Annals of Applied Probability, vol. 27 no. 2 (April, 2017), pp. 944-959, Institute of Mathematical Statistics (IMS), ISSN 1050-5164 [arXiv:1502.07440], [1502.07440], [doi] [abs] - Nolen, J; Roquejoffre, J-M; Ryzhik, L,
*Convergence to a single wave in the Fisher-KPP equation*, Chinese Annals of Mathematics, Series B, vol. 38 no. 2 (March, 2017), pp. 629-646 [1604.02994], [doi]

- Glasner, K; Orizaga, S,
*Multidimensional equilibria and their stability in copolymer–solvent mixtures*, Physica D: Nonlinear Phenomena, vol. 373 (June, 2018), pp. 1-12 [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. 1127-1148 [doi]

- A. O. Petters and M. C. Werner,
*Gravitational Lensing and Black Holes*(Spring, 2017), Springer, in preparation

- Rengaswamy, N; Calderbank, R; Pfister, HD; Kadhe, S,
*Synthesis of Logical Clifford Operators via Symplectic Geometry*, Ieee International Symposium on Information Theory Proceedings, vol. 2018-June (August, 2018), pp. 791-795 [doi] [abs] - Hager, C; Pfister, HD,
*Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications*, Ieee International Symposium on Information Theory Proceedings, vol. 2018-June (August, 2018), pp. 1590-1594 [doi] [abs] - Santi, E; Hager, C; Pfister, HD,
*Decoding Reed-Muller Codes Using Minimum- Weight Parity Checks*, Ieee International Symposium on Information Theory Proceedings, vol. 2018-June (August, 2018), pp. 1296-1300 [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. 2018-June (August, 2018), pp. 1754-1758, ISBN 9781538647806 [doi] [abs] - Hager, C; Pfister, HD,
*Approaching Miscorrection-Free Performance of Product Codes With Anchor Decoding*, Ieee Transactions on Communications, vol. 66 no. 7 (July, 2018), pp. 2797-2808 [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. 1-3, ISBN 9781943580385 [abs] - Häger, C; Pfister, HD,
*Nonlinear interference mitigation via deep neural networks*, Optics Infobase Conference Papers, vol. Part F84-OFC 2018 (January, 2018) [doi] [abs] - Yoo, I; Imani, MF; Sleasman, T; Pfister, HD; Smith, DR,
*Enhancing Capacity of Spatial Multiplexing Systems Using Reconfigurable Cavity-backed Metasurface Antennas in Clustered MIMO Channels*, Ieee Transactions on Communications (January, 2018) [doi] [abs] - Häger, C; Pfister, HD,
*Miscorrection-free Decoding of Staircase Codes*, European Conference on Optical Communication, Ecoc, vol. 2017-September (September, 2017), pp. 1-3 [doi] [abs] - Charbonneau, P; Li, YC; Pfister, HD; Yaida, S,
*Cycle-expansion method for the Lyapunov exponent, susceptibility, and higher moments.*, Physical Review. E, vol. 96 no. 3-1 (September, 2017), pp. 032129 [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. 4298-4316 [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 Single-Letter Upper Bound on the Feedback Capacity of Unifilar Finite-State Channels*, Ieee Transactions on Information Theory, vol. 63 no. 3 (March, 2017), pp. 1392-1409 [doi] [abs] - Sabag, O; Permuter, HH; Pfister, HD,
*Single-letter bounds on the feedback capacity of unifilar finite-state channels*, 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 (January, 2017), ISBN 9781509021529 [doi] [abs] - Jian, Y-Y; Pfister, HD; Narayanan, KR,
*Approaching Capacity at High Rates with Iterative Hard-Decision Decoding*, Ieee Transactions on Information Theory (2017), pp. 1-1 [doi]

- 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. 3262-3294 [doi] - Heath-Brown, DR; Pierce, LB,
*Averages and moments associated to class numbers of imaginary quadratic fields*, Compositio Mathematica, vol. 153 no. 11 (November, 2017), pp. 2287-2309 [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] - Heath-Brown, 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. 85-143 [doi] [abs] - Pierce, LB; Turnage-Butterbaugh, 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 ℓ-torsion in class groups of number fields*, Algebra & Number Theory, vol. 11 no. 8 (2017), pp. 1739-1778 [doi] [abs]

- 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 M-Theory on Calabi–Yau Fourfolds and Background Fluxes*, Communications in Mathematical Physics, vol. 351 no. 2 (April, 2017), pp. 837-871 [doi]

- Pollack, A,
*The spin -function on for Siegel modular forms*, Compositio Mathematica, vol. 153 no. 07 (July, 2017), pp. 1391-1432 [doi] - Pollack, A; Shah, S,
*On the Rankin–Selberg integral of Kohnen and Skoruppa*, Mathematical Research Letters, vol. 24 no. 1 (2017), pp. 173-222 [doi]

- Gounley, J; Draeger, EW; Oppelstrup, T; Krauss, WD; Gunnels, JA; Chaudhury, R; Nair, P; Frakes, D; Leopold, JA; Randles, A,
*Computing the ankle-brachial 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,
*High-Reynolds-number 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. 825-834, 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. 2792-2802 [doi] [abs] - Gounley, J; Vardhan, M; Randles, A,
*A framework for comparing vascular hemodynamics at different points in time*, Computer Physics Communications (June, 2018) [doi] - 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. 1049-1061 [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 multi-directional shear flow.*, Journal of the Royal Society, Interface, vol. 14 no. 130 (May, 2017) [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. 175-184 [doi] [abs] - Laurence, TA; Ly, S; Fong, E; Shusteff, M; Randles, A; Gounley, J; Draeger, E,
*Using stroboscopic flow imaging to validate large-scale computational fluid dynamics simulations*, Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 10076 (January, 2017), ISBN 9781510605930 [doi] [abs]

- 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] - Sadre-Marandi, F; Dahdoul, T; Reed, MC; Nijhout, HF,
*Sex differences in hepatic one-carbon 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. 130-137 [doi] [abs] - Suppiramaniam, V; Bloemer, J; Reed, M; Bhattacharya, S,
*Neurotransmitter Receptors*, in Comprehensive Toxicology: Third Edition, vol. 6-15 (December, 2017), pp. 174-201, 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. 2534-2557 [doi] [abs] - Nijhout, HF; Sadre-Marandi, F; Best, J; Reed, MC,
*Systems Biology of Phenotypic Robustness and Plasticity.*, Integrative and Comparative Biology, vol. 57 no. 2 (August, 2017), pp. 171-184 [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. 753-753 - 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. 753-754

- Robles, C,
*Characterization of Calabi–Yau variations of Hodge structure over tube domains by characteristic forms*, Mathematische Annalen (September, 2017), pp. 1-25 [doi] [abs] - Kerr, M; Robles, C,
*Variations of Hodge structure and orbits in flag varieties*, Advances in Mathematics, vol. 315 (July, 2017), pp. 27-87 [doi] [abs] - Kerr, M; Robles, C,
*Classification of smooth horizontal Schubert varieties*, European Journal of Mathematics, vol. 3 no. 2 (June, 2017), pp. 289-310 [doi]

- Rudin, C; Ertekin, Ş,
*Learning customized and optimized lists of rules with mathematical programming*, Mathematical Programming Computation, vol. 10 no. 4 (December, 2018), pp. 659-702 [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. 449-466 [doi] [abs] - Vu, M-AT; 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. 1601-1607 [doi] [abs] - Angelino, E; Larus-Stone, 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. 1-78 [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 Electroencephalography-Based Risk Score With Seizure Probability in Hospitalized Patients.*, Jama Neurology, vol. 74 no. 12 (December, 2017), pp. 1419-1424 [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. 1125-1134, ISBN 9781450348874 [doi] [abs] - Angelino, E; Larus-Stone, 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. 35-44, ISBN 9781450348874 [doi] [abs] - Wang, T; Rudin, C; Doshi-Velez, 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. 1-37 [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. 689-722 [doi] - Ustun, B; Adler, LA; Rudin, C; Faraone, SV; Spencer, TJ; Berglund, P; Gruber, MJ; Kessler, RC,
*The World Health Organization Adult Attention-Deficit/Hyperactivity Disorder Self-Report Screening Scale for DSM-5.*, Jama Psychiatry, vol. 74 no. 5 (May, 2017), pp. 520-526 [doi] [abs] - Wang, T; Rudin, C; Velez-Doshi, F; Liu, Y; Klampfl, E; Macneille, P,
*Bayesian rule sets for interpretable classification*, Proceedings Ieee International Conference on Data Mining, Icdm (January, 2017), pp. 1269-1274, 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. 5971-5980, ISBN 9781510855144 [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, B-H; 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. 5774-5779 [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. 290-291 [doi]- Ryser, MD; Horton, JK; Hwang, ES,
*How Low Can We Go-and Should We? Risk Reduction for Minimal-Volume DCIS.*, Annals of Surgical Oncology, vol. 25 no. 2 (February, 2018), pp. 354-355 [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. 3534-3540 [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 pattern-forming bacteria.*, Nature Biotechnology, vol. 35 no. 11 (November, 2017), pp. 1087-1093 [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. 604-611 [doi] [abs] - Ryser, MD; Gravitt, PE; Myers, ER,
*Mechanistic mathematical models: An underused platform for HPV research.*, Papillomavirus research, vol. 3 (June, 2017), pp. 46-49 [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. 237-276 [doi] [abs]

- Saper, L,
*ℒ-modules and micro-support*, to appear in Annals of Mathematics (2018) - Saper, L,
*Perverse sheaves and the reductive Borel-Serre compactification*, in Hodge Theory and L²-analysis, edited by Ji, L, vol. 39 (2017), pp. 555-581, International Press [abs]

- Kim, J; Duchin, Y; Shamir, RR; Patriat, R; Vitek, J; Harel, N; Sapiro, G,
*Automatic localization of the subthalamic nucleus on patient-specific 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 Multi-Image Alignment*, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2018-April (September, 2018), pp. 1927-1931 [doi] [abs] - Ahn, HK; Qiu, Q; Bosch, E; Thompson, A; Robles, FE; Sapiro, G; Warren, WS; Calderbank, R,
*Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform*, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2018-April (September, 2018), pp. 4209-4213, 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. 2018-April (September, 2018), pp. 6767-6771, 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 Cryo-EM Structure of β-Galactosidase.*, Structure (London, England : 1993), vol. 26 no. 6 (June, 2018), pp. 848-856.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. 1676-1690 [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, M-AT; 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. 1601-1607 [doi] [abs] - Pisharady, PK; Sotiropoulos, SN; Duarte-Carvajalino, 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. 488-503 [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. 2018-January (January, 2018), pp. 2564-2572, 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. 2018-January (January, 2018), pp. 2537-2544, 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 two-photon 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 low-cost point-of-care 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, M-AT; Sapiro, G; Heller, NE; Adcock, RA,
*Motivational valence alters memory formation without altering exploration of a real-life 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,
*Patient-specific 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. 442-459 [doi] [abs] - Lezama, J; Qiu, Q; Sapiro, G,
*Not afraid of the dark: NIR-VIS face recognition via cross-spectral hallucination and low-rank embedding*, Proceedings 30th Ieee Conference on Computer Vision and Pattern Recognition, Cvpr 2017, vol. 2017-January (November, 2017), pp. 6807-6816 [doi] [abs] - Ye, Q; Zhang, T; Ke, W; Qiu, Q; Chen, J; Sapiro, G; Zhang, B,
*Self-learning scene-specific pedestrian detectors using a progressive latent model*, Proceedings 30th Ieee Conference on Computer Vision and Pattern Recognition, Cvpr 2017, vol. 2017-January (November, 2017), pp. 2057-2066 [doi] [abs] - Su, S; Delbracio, M; Wang, J; Sapiro, G; Heidrich, W; Wang, O,
*Deep video deblurring for hand-held cameras*, Proceedings 30th Ieee Conference on Computer Vision and Pattern Recognition, Cvpr 2017, vol. 2017-January (November, 2017), pp. 237-246, 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. 2017-January (November, 2017), pp. 655-663, ISBN 9781538604571 [doi] [abs] - Pisharady, PK; Sotiropoulos, SN; Sapiro, G; Lenglet, C,
*A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI.*, Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, vol. 10433 (September, 2017), pp. 602-610, 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. 147-151, 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. 4265-4280 [doi] - Simhal, AK; Aguerrebere, C; Collman, F; Vogelstein, JT; Micheva, KD; Weinberg, RJ; Smith, SJ; Sapiro, G,
*Probabilistic fluorescence-based 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 Follow-up to Improve Quality of Screening for Autism.*, The Journal of Pediatrics, vol. 183 (April, 2017), pp. 133-139.e1 [doi] [abs] - Chen, J; Chang, Z; Qiu, Q; Li, X; Sapiro, G; Bronstein, A; Pietikäinen, M,
*RealSense = real heart rate: Illumination invariant heart rate estimation from videos*, 2016 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016 (January, 2017), ISBN 9781467389105 [doi] [abs] - Gunalan, K; Chaturvedi, A; Howell, B; Duchin, Y; Lempka, SF; Patriat, R; Sapiro, G; Harel, N; McIntyre, CC,
*Creating and parameterizing patient-specific deep brain stimulation pathway-activation models using the hyperdirect pathway as an example.*, Plos One, vol. 12 no. 4 (January, 2017), pp. e0176132 [doi] [abs]

- 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 High-Fluorescence Setting—A Proof of Concept*, Archaeometry (January, 2018) [doi] [abs] - Sober, B; Levin, D,
*Computer aided restoration of handwritten character strokes*, Computer Aided Design, vol. 89 (August, 2017), pp. 12-24 [doi] - Shaus, A; Faigenbaum-Golovin, S; Sober, B; Turkel, E,
*Potential Contrast – A New Image Quality Measure*, Electronic Imaging, vol. 2017 no. 12 (January, 2017), pp. 52-58 [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. 495-500, ISBN 9781509009817 [doi] [abs] - Faigenbaum-Golovin, S; Mendel-Geberovich, A; Shaus, A; Sober, B; Cordonsky, M; Levin, D; Moinester, M; Sass, B; Turkel, E; Piasetzky, E; Finkelstein, I,
*Multispectral imaging reveals biblical-period inscription unnoticed for half a century.*, Plos One, vol. 12 no. 6 (January, 2017), pp. e0178400 [doi] [abs] - Anat Mendel-Geberovich, ; Arie Shaus, ; Shira Faigenbaum-Golovin, ; 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. 113-113 [doi]

*"Nonlinear Harmonic Forms and Indefinite Bochner Formulas " in Hodge Theory and L^2-Analysis*, vol. 39 (2017), Higher Education Press

- 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. 2018-April (September, 2018), pp. 4414-4418, ISBN 9781538646588 [doi] [abs] - Banerjee, T; Choi, J; Pesaran, B; Ba, D; Tarokh, V,
*Wavelet Shrinkage and Thresholding Based Robust Classification for Brain-Computer Interface*, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2018-April (September, 2018), pp. 836-840 [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. 2018-April (September, 2018), pp. 3994-3998 [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. 1940-1947 [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. 218-222 [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. 2429-2440 [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. 1356-1371 [doi] - Soloveychik, I; Xiang, Y; Tarokh, V,
*Pseudo-Wigner Matrices*, Ieee Transactions on Information Theory, vol. 64 no. 4 (April, 2018), pp. 3170-3178 [doi] - Soloveychik, I; Xiang, Y; Tarokh, V,
*Symmetric Pseudo-Random Matrices*, Ieee Transactions on Information Theory, vol. 64 no. 4 (April, 2018), pp. 3179-3196 [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. 2018-January (March, 2018), pp. 928-932, 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. 2018-January (March, 2018), pp. 750-754, ISBN 9781509059904 [doi] [abs] - Han, Q; Ding, J; Airoldi, E; Tarokh, V,
*Modeling nonlinearity in multi-dimensional dependent data*, 2017 Ieee Global Conference on Signal and Information Processing, Globalsip 2017 Proceedings, vol. 2018-January (March, 2018), pp. 206-210, ISBN 9781509059904 [doi] [abs] - Soloveychik, I; Xiang, Y; Tarokh, V,
*Explicit symmetric pseudo-random matrices*, Ieee International Symposium on Information Theory Proceedings, vol. 2018-January (January, 2018), pp. 424-428, 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. 2018-January (January, 2018), pp. 228-235 [doi] [abs] - Soloveychik, I; Tarokh, V; Paulson, JA,
*On the spectral norms of pseudo-wigner and related matrices*, 55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017, vol. 2018-January (January, 2018), pp. 61-66 [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. 451-462 [doi] - 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. 1-1 [doi] - 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. 4994-5005 [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. 4495-4510 [doi] - Shahrampour, S; Noshad, M; Tarokh, V,
*On Sequential Elimination Algorithms for Best-Arm Identification in Multi-Armed Bandits*, Ieee Transactions on Signal Processing, vol. 65 no. 16 (August, 2017), pp. 4281-4292 [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. 2910-2914, ISBN 9781509040964 [doi] [abs] - Soloveychik, I; Xiang, Y; Tarokh, V,
*Pseudo-wigner matrices from dual BCH codes*, Ieee International Symposium on Information Theory Proceedings (August, 2017), pp. 1381-1385, ISBN 9781509040964 [doi] [abs] - Jeong, S; Kang, J; Pahlavan, K; Tarokh, V,
*Fundamental Limits of TOA/DOA and Inertial Measurement Unit-Based Wireless Capsule Endoscopy Hybrid Localization*, International Journal of Wireless Information Networks, vol. 24 no. 2 (June, 2017), pp. 169-179 [doi] - Wei, L; Sarwate, AD; Corander, J; Hero, A; Tarokh, V,
*Analysis of a privacy-preserving PCA algorithm using random matrix theory*, 2016 Ieee Global Conference on Signal and Information Processing, Globalsip 2016 Proceedings (April, 2017), pp. 1335-1339, 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 prior-less phase recovery: redundant spacing calibration with generalized-closure phases*, Monthly Notices of the Royal Astronomical Society, vol. 464 no. 2 (January, 2017), pp. 2356-2376 [doi] - Jeong, S; Li, X; Yang, J; Li, Q; Tarokh, V,
*Dictionary learning and sparse coding-based denoising for high-resolution 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. 45-52, 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. 2017-December (January, 2017), pp. 3456-3466 [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 (2017), pp. 1-1 [doi]

- Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J,
*Geometric Cross-Modal Comparison of Heterogeneous Sensor Data*, Proceedings of the 39th Ieee Aerospace Conference (March, 2018) [abs] - Tralie, CJ; Perea, JA,
*(Quasi)Periodicity Quantification in Video Data, Using Topology*, Siam Journal on Imaging Sciences, vol. 11 no. 2 (January, 2018), pp. 1049-1077 [doi] [abs] - Tralie, CJ,
*Self-Similarity 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]

- Conrey, JB; Turnage-Butterbaugh, CL,
*On r-gaps between zeros of the Riemann zeta-function*, Bulletin of the London Mathematical Society (January, 2018) [doi] [abs] - Best, A; Dynes, P; Edelsbrunner, X; McDonald, B; Miller, SJ; Tor, K; Turnage-Butterbaugh, C; Weinstein, M,
*Benford Behavior of Generalized Zeckendorf Decompositions*, Springer Proceedings in Mathematics and Statistics, vol. 220 (January, 2017), pp. 25-37, Springer [doi] [abs] - Pierce, LB; Turnage-Butterbaugh, 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]

- Greene, JE; Lewallen, S; Vafaee, F,
*(1, 1) L-space knots*, Compositio Mathematica, vol. 154 no. 5 (May, 2018), pp. 918-933, CAMBRIDGE UNIV PRESS [doi] [abs]

- 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. 111-131 [doi] [abs] - Perez-Arancibia, 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,
*Three-dimensional quasi-periodic 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. 169-202 [doi] [abs]

- Barnard, E; Meehan, E; Reading, N; Viel, S,
*Universal Geometric Coefficients for the Four-Punctured Sphere*, Annals of Combinatorics, vol. 22 no. 1 (March, 2018), pp. 1-44 [doi]

- Boston, N; Wang, J,
*The 2-class tower of ℚ(√-5460)*, in Springer Proceedings in Mathematics and Statistics, vol. 251 (January, 2018), pp. 71-80 [doi] [abs]

- Watson, A; Weinstein, MI,
*Wavepackets in Inhomogeneous Periodic Media: Propagation Through a One-Dimensional Band Crossing*, Communications in Mathematical Physics, vol. 363 no. 2 (October, 2018), pp. 655-698 [doi] [abs] - Watson, AB; Lu, J; Weinstein, MI,
*Wavepackets in inhomogeneous periodic media: Effective particle-field dynamics and Berry curvature*, Journal of Mathematical Physics, vol. 58 no. 2 (February, 2017), pp. 021503-021503 [doi]

- Chiou, J-G; Ramirez, SA; Elston, TC; Witelski, TP; Schaeffer, DG; Lew, DJ,
*Principles that govern competition or co-existence in Rho-GTPase 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, J-G; 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. 13-25 [doi] - Ji, H; Witelski, TP,
*Finite-time thin film rupture driven by modified evaporative loss*, Physica D: Nonlinear Phenomena, vol. 342 (March, 2017), pp. 1-15 [doi] - Gao, Y; Ji, H; Liu, J-G; 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. 1-21 [doi]

- 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. 3151-3173 [doi] [abs]

- Katz, O; Talmon, R; Lo, Y-L; Wu, H-T,
*Alternating diffusion maps for multimodal data fusion*, Information Fusion, vol. 45 (January, 2019), pp. 346-360 [doi] - 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,
*Sleep-wake classification via quantifying heart rate variability by convolutional neural network*, Physiological Measurement, vol. 39 no. 8 (August, 2018) [doi] [abs] - Wu, H-T; Wu, J-C; Huang, P-C; Lin, T-Y; Wang, T-Y; Huang, Y-H; Lo, Y-L,
*Phenotype-Based and Self-Learning Inter-Individual Sleep Apnea Screening With a Level IV-Like Monitoring System*, Frontiers in Physiology, vol. 9 (July, 2018) [doi] - Wu, HT; Liu, YW,
*Analyzing transient-evoked otoacoustic emissions by concentration of frequency and time*, The Journal of the Acoustical Society of America, vol. 144 no. 1 (July, 2018), pp. 448-466 [doi] [abs] - Liu, TC; Wu, HT; Chen, YH; Fang, TY; Wang, PC; Liu, YW,
*Analysis of click-evoked 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, H-T; Soliman, EZ,
*A new approach for analysis of heart rate variability and QT variability in long-term 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, H-T; Schulkin, J; Herry, CL; Seely, AJE; Metz, GAS; Louzoun, Y; Antonelli, MC,
*Non-invasive biomarkers of fetal brain development reflecting prenatal stress: An integrative multi-scale multi-species perspective on data collection and analysis*, Neuroscience and Biobehavioral Reviews (May, 2018) [doi] - Zhang, J-T; Cheng, M-Y; Wu, H-T; Zhou, B,
*A new test for functional one-way ANOVA with applications to ischemic heart screening*, Computational Statistics & Data Analysis (May, 2018) [doi] - Shen, C; Frasch, MG; Wu, HT; Herry, CL; Cao, M; Desrochers, A; Fecteau, G; Burns, P,
*Non-invasive 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. 3805-3837, INST MATHEMATICAL STATISTICS [doi] [abs] - Talmon, R; Wu, H-T,
*Latent common manifold learning with alternating diffusion: Analysis and applications*, Applied and Computational Harmonic Analysis (January, 2018) [doi] - Kowalski, M; Meynard, A; Wu, H-T,
*Convex Optimization approach to signals with fast varying instantaneous frequency*, Applied and Computational Harmonic Analysis, vol. 44 no. 1 (January, 2018), pp. 89-122 [doi] - Tan, C; Zhang, L; Wu, H-T,
*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. 1-1 [doi] [abs] - Wu, H-K; Ko, Y-S; Lin, Y-S; Wu, H-T; Tsai, T-H; Chang, H-H,
*Corrigendum to "The correlation between pulse diagnosis and constitution identification in traditional Chinese medicine" [Complementary Ther. Med. 30 (2017) 107-112].*, Complementary Therapies in Medicine, vol. 35 (December, 2017), pp. 145 [doi] - Chao, Y-S; Wu, H-T; Scutari, M; Chen, T-S; Wu, C-J; 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, T-Y; Fang, Y-F; Huang, S-H; Wang, T-Y; Kuo, C-H; Wu, H-T; Kuo, H-P; Lo, Y-L,
*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; Bello-Rivas, J; Gear, C; Wu, H-T; Chiavazzo, E; Kevrekidis, I,
*An Exploration Algorithm for Stochastic Simulators Driven by Energy Gradients*, Entropy, vol. 19 no. 7 (July, 2017), pp. 294-294 [doi] - Malik, J; Reed, N; Wang, C-L; Wu, H-T,
*Single-lead f-wave extraction using diffusion geometry.*, Physiological Measurement, vol. 38 no. 7 (June, 2017), pp. 1310-1334 [doi] [abs] - Sheu, Y-L; Hsu, L-Y; Chou, P-T; Wu, H-T,
*Entropy-based time-varying window width selection for nonlinear-type time–frequency analysis*, International Journal of Data Science and Analytics, vol. 3 no. 4 (June, 2017), pp. 231-245 [doi] - Herry, CL; Frasch, M; Seely, AJ; Wu, H-T,
*Heart beat classification from single-lead ECG using the synchrosqueezing transform.*, Physiological Measurement, vol. 38 no. 2 (February, 2017), pp. 171-187 [doi] [abs] - Wu, H-K; Ko, Y-S; Lin, Y-S; Wu, H-T; Tsai, T-H; Chang, H-H,
*The correlation between pulse diagnosis and constitution identification in traditional Chinese medicine.*, Complementary Therapies in Medicine, vol. 30 (February, 2017), pp. 107-112 [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. 4838-4864 [doi] [abs] - Li, R; Frasch, MG; Wu, H-T,
*Efficient Fetal-Maternal ECG Signal Separation from Two Channel Maternal Abdominal ECG via Diffusion-Based Channel Selection.*, Frontiers in Physiology, vol. 8 (January, 2017), pp. 277 [doi] [abs] - Frasch, MG; Boylan, GB; Wu, H-T; 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, H-T,
*How Nonlinear-Type Time-Frequency 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, W-T; Wu, H-T; Juang, J-N; Wisniewski, A; Lee, H-C; Wu, D; Lo, Y-L,
*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, Y-T; Wu, H-T,
*ConceFT for Time-Varying 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. 145-154 [doi] [abs] - Wu, H-T,
*Embedding Riemannian manifolds by the heat kernel of the connection Laplacian*, Advances in Mathematics, vol. 304 (January, 2017), pp. 1055-1079 [doi]

- 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. 3805-3837 [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. 297-308 [doi] - Li, Y; Yang, H; Ying, L,
*Multidimensional butterfly factorization*, Applied and Computational Harmonic Analysis (April, 2017), Elsevier, ISSN 1096-603X [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. 160-171, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1941-0042 [repository], [doi] [abs] - Lu, J; Yang, H,
*Preconditioning Orbital Minimization Method for Planewave Discretization*, Multiscale Modeling & Simulation, vol. 15 no. 1 (January, 2017), pp. 254-273 [repository], [doi] [abs] - Li, Y; Yang, H,
*Interpolative Butterfly Factorization*, SIAM Journal on Scientific Computing, vol. 39 no. 2 (January, 2017), pp. A503-A531 [1605.03616], [doi] - Yang, H,
*Statistical analysis of synchrosqueezed transforms*, Applied and Computational Harmonic Analysis (January, 2017), Elsevier, ISSN 1096-603X [repository], [doi]

- Liu, J-G; 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. 291-313 [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 semi-Lagrangian time splitting spectral method for the semi-classical Schrödinger equation with vector potentials using NUFFT*, Applied Numerical Mathematics, vol. 111 (January, 2017), pp. 144-159 [doi]

- 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)