Mathematics : Publications since January 2016
List all publications in the database. :chronological alphabetical combined bibtex listing:
Abel, Michael
 HOMFLYPT homology for general link diagrams and braidlike isotopy
(June, 2016) [arxiv:1607.00314]
 with M. Hogancamp, Stable homology of torus links via categorified Young symmetrizers II: onecolumn partitions
(February, 2016) [arXiv:1510.05330]
Agarwal, Pankaj K.
 Agarwal, PK; Pan, J; Victor, W, An efficient algorithm for placing electric vehicle charging stations,
LIPIcs, vol. 64
(December, 2016),
pp. 7.17.12, ISBN 9783959770262 [doi] [abs]
 Ying, R; Pan, J; Fox, K; Agarwal, PK, A simple efficient approximation algorithm for dynamic time warping,
GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
(October, 2016), ISBN 9781450345897 [doi] [abs]
 Nath, A; Fox, K; Agarwal, PK; Munagala, K, Massively parallel algorithms for computing TIN DEMs and contour trees for large terrains,
GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
(October, 2016), ISBN 9781450345897 [doi] [abs]
 Agarwal, PK; Aronov, B; HarPeled, S; Phillips, JM; Yi, K; Zhang, W, NearestNeighbor Searching Under Uncertainty II,
ACM Transactions on Algorithms, vol. 13 no. 1
(October, 2016),
pp. 125 [doi]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Rangemax queries on uncertain data,
Proceedings of the ACM SIGACTSIGMODSIGART Symposium on Principles of Database Systems, vol. 26June01July2016
(June, 2016),
pp. 465476, ISBN 9781450341912 [doi] [abs]
 Agarwal, PK; Fox, K; Munagala, K; Nath, A, Parallel algorithms for constructing range and nearestneighbor searching data structures,
Proceedings of the ACM SIGACTSIGMODSIGART Symposium on Principles of Database Systems, vol. 26June01July2016
(June, 2016),
pp. 429440, ISBN 9781450341912 [doi] [abs]
 Agarwal, PK; Fox, K; Pan, J; Ying, R, Approximating dynamic time warping and edit distance for a pair of point sequences,
LIPIcs, vol. 51
(June, 2016),
pp. 6.16.16 [doi] [abs]
 Yu, A; Agarwal, PK; Yang, J, Top$k$ Preferences in High Dimensions,
IEEE Transactions on Knowledge and Data Engineering, vol. 28 no. 2
(February, 2016),
pp. 311325, ISSN 10414347 [doi]
 Agarwal, PK; Fox, K; Salzman, O, An efficient algorithm for computing highquality paths amid polygonal obstacles,
Proceedings of the Annual ACMSIAM Symposium on Discrete Algorithms, vol. 2
(January, 2016),
pp. 11791192, ISBN 9781510819672 [abs]
 Pan, J; Rao, V; Agarwal, PK; Gelfand, AE, Markovmodulated marked poisson processes for checkin data,
33rd International Conference on Machine Learning, ICML 2016, vol. 5
(January, 2016),
pp. 33113320, ISBN 9781510829008 [abs]
Arlotto, Alessandro
 Arlotto, A; Steele, JM, A Central Limit Theorem for Temporally Nonhomogenous Markov Chains with Applications to Dynamic Programming,
Mathematics of Operations Research, vol. 41 no. 4
(November, 2016),
pp. 14481468 [doi]
 Arlotto, A; Mossel, E; Steele, JM, Quickest online selection of an increasing subsequence of specified size,
Random Structures and Algorithms, vol. 49 no. 2
(September, 2016),
pp. 235252 [doi]
Beale, J. Thomas
 Beale, JT; Ying, W; Wilson, JR, A Simple Method for Computing Singular or Nearly Singular Integrals on Closed Surfaces,
Communications in computational physics, vol. 20 no. 03
(September, 2016),
pp. 733753 [doi]
Bendich, Paul L
 Bendich, P; Chin, SP; Clark, J; Desena, J; Harer, J; Munch, E; Newman, A; Porter, D; Rouse, D; Strawn, N; Watkins, A, Topological and statistical behavior classifiers for tracking applications,
IEEE Transactions on Aerospace and Electronic Systems, vol. 52 no. 6
(December, 2016),
pp. 26442661 [doi] [abs]
 Bendich, P; Gasparovic, E; Harer, J; Tralie, C, Geometric models for musical audio data,
LIPIcs, vol. 51
(June, 2016),
pp. 65.165.5, ISBN 9783959770095 [doi] [abs]
 Bendich, P; Marron, JS; Miller, E; Pieloch, A; Skwerer, S, Persistent Homology Analysis of Brain Artery Trees.,
The annals of applied statistics, vol. 10 no. 1
(January, 2016),
pp. 198218, ISSN 19326157 (to appear.) [repository], [doi] [abs]
 Paul Bendich, Ellen Gasparovic, John Harer, and Christopher J. Tralie, Scaffoldings and Spines: Organizing HighDimensional Data Using Cover Trees, Local Principal Component Analysis, and Persistent Homology
(2016) [1602.06245]
Bertozzi, Andrea L
 J. B. Greer and A. L. Bertozzi, H1 solutions of a class of fourth order nonlinear equations for image processing,
Discrete And Continuous Dynamical Systems, vol. 10 no. 12
(2004),
pp. 349  366
Bray, Hubert
 Bray, HL; Jauregui, JL; Mars, M, Time Flat Surfaces and the Monotonicity of the Spacetime Hawking Mass II,
Annales Henri Poincaré, vol. 17 no. 6
(July 26, 2015),
pp. 14571475, Springer Basel, ISSN 14240637 [arXiv:1402.3287 [math.DG]], [3287], [doi] [abs]
Bryant, Robert
(search)
 Bryant, RL; Huang, L; Mo, X, On Finsler surfaces of constant flag curvature with a Killing field,
Journal of Geometry and Physics, vol. 116
(June, 2017),
pp. 345357 [doi]
Calderbank, Robert
 Wang, L; Chen, M; Rodrigues, M; Wilcox, D; Calderbank, R; Carin, L, InformationTheoretic Compressive Measurement Design.,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39 no. 6
(June, 2017),
pp. 11501164 [doi] [abs]
 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
(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 Followup to Improve Quality of Screening for Autism.,
The Journal of Pediatrics, vol. 183
(April, 2017),
pp. 133139.e1 [doi] [abs]
 Reboredo, H; Renna, F; Calderbank, R; Rodrigues, MRD, Bounds on the Number of Measurements for Reliable Compressive Classification,
IEEE Transactions on Signal Processing, vol. 64 no. 22
(November, 2016),
pp. 57785793 [doi]
 Thompson, A; Robles, FE; Wilson, JW; Deb, S; Calderbank, R; Warren, WS, Dualwavelength pumpprobe microscopy analysis of melanin composition.,
Scientific Reports, vol. 6
(November, 2016),
pp. 36871 [doi] [abs]
 Renna, F; Wang, L; Yuan, X; Yang, J; Reeves, G; Calderbank, R; Carin, L; Rodrigues, MRD, Classification and Reconstruction of HighDimensional Signals From LowDimensional Features in the Presence of Side Information,
IEEE Transactions on Information Theory, vol. 62 no. 11
(November, 2016),
pp. 64596492 [doi]
 Kumar, S; Calderbank, R; Pfister, HD, Beyond double transitivity: Capacityachieving cyclic codes on erasure channels,
2016 IEEE Information Theory Workshop, ITW 2016
(October, 2016),
pp. 241245, ISBN 9781509010905 [doi] [abs]
 Mappouras, G; Vahid, A; Calderbank, R; Sorin, DJ, Methuselah flash: Rewriting codes for extra long storage lifetime,
Proceedings  46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2016
(September, 2016),
pp. 180191, ISBN 9781467388917 [doi] [abs]
 Vahid, A; Calderbank, R, TwoUser Erasure Interference Channels With Local Delayed CSIT,
IEEE Transactions on Information Theory, vol. 62 no. 9
(September, 2016),
pp. 49104923 [doi]
 Nokleby, M; Beirami, A; Calderbank, R, Ratedistortion bounds on Bayes risk in supervised learning, vol. 2016August
(August, 2016),
pp. 20992103, ISBN 9781509018062 [doi] [abs]
 Vahid, A; Calderbank, R, When does spatial correlation add value to delayed channel state information?, vol. 2016August
(August, 2016),
pp. 26242628, ISBN 9781509018062 [doi] [abs]
 Sokolic, J; Renna, F; Calderbank, R; Rodrigues, MRD, Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification,
IEEE Transactions on Signal Processing, vol. 64 no. 12
(June, 2016),
pp. 30353050 [doi]
 Wang, L; Renna, F; Yuan, X; Rodrigues, M; Calderbank, R; Carin, L, A general framework for reconstruction and classification from compressive measurements with side information,
IEEE International Conference on Acoustics Speech and Signal Processing, vol. 2016May
(May, 2016),
pp. 42394243, ISBN 9781479999880 [doi] [abs]
 Beirami, A; Calderbank, R; Christiansen, M; Duffy, K; Makhdoumi, A; Medard, M, A geometric perspective on guesswork,
2015 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015
(April, 2016),
pp. 941948, ISBN 9781509018239 [doi] [abs]
 Vahid, A; Shomorony, I; Calderbank, R, Informational bottlenecks in twounicast wireless networks with delayed CSIT,
2015 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015
(April, 2016),
pp. 12561263, ISBN 9781509018239 [doi] [abs]
 Huang, J; Qiu, Q; Calderbank, R, The Role of Principal Angles in Subspace Classification,
IEEE Transactions on Signal Processing, vol. 64 no. 8
(April, 2016),
pp. 19331945 [doi]
 Qiu, Q; Thompson, A; Calderbank, R; Sapiro, G, Data Representation Using the Weyl Transform,
IEEE Transactions on Signal Processing, vol. 64 no. 7
(April, 2016),
pp. 18441853 [doi]
 Goparaju, S; Rouayheb, SE; Calderbank, R, Can linear minimum storage regenerating codes be universally secure?,
Conference Record of the Asilomar Conference on Signals, Systems and Computers, vol. 2016February
(February, 2016),
pp. 549553, ISBN 9781467385763 [doi] [abs]
 Huang, J; Qiu, Q; Calderbank, R; Sapiro, G, Geometryaware deep transform,
Proceedings / IEEE International Conference on Computer Vision. IEEE International Conference on Computer Vision, vol. 1118December2015
(February, 2016),
pp. 41394147, ISBN 9781467383912 [doi] [abs]
 Carpenter, KLH; Sprechmann, P; Calderbank, R; Sapiro, G; Egger, HL, Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach.,
PloS one, vol. 11 no. 11
(January, 2016),
pp. e0165524 [doi] [abs]
 Thompson, A; Calderbank, R, Compressive imaging using fast transform coding,
Proceedings of SPIE  The International Society for Optical Engineering, vol. 9992
(January, 2016), ISBN 9781510603882 [doi] [abs]
Daubechies, Ingrid
 Deligiannis, N; Mota, JFC; Cornelis, B; Rodrigues, MRD; Daubechies, I, MultiModal Dictionary Learning for Image Separation With Application in Art Investigation,
IEEE Transactions on Image Processing, vol. 26 no. 2
(February, 2017),
pp. 751764 [doi]
 Cornelis, B; Yang, H; Goodfriend, A; Ocon, N; Lu, J; Daubechies, I, Removal of Canvas Patterns in Digital Acquisitions of Paintings.,
IEEE Transactions on Image Processing, vol. 26 no. 1
(January, 2017),
pp. 160171 [doi] [abs]
 Yin, R; Gao, T; Lu, YM; Daubechies, I, A Tale of Two Bases: LocalNonlocal Regularization on Image Patches with Convolution Framelets,
SIAM Journal on Imaging Sciences, vol. 10 no. 2
(January, 2017),
pp. 711750 [doi]
 Wu, HT; Lewis, GF; Davila, MI; Daubechies, I; Porges, SW, Optimizing Estimates of Instantaneous Heart Rate from Pulse Wave Signals with the Synchrosqueezing Transform.,
Methods of information in medicine, vol. 55 no. 5
(October, 2016),
pp. 463472 [doi] [abs]
 Daubechies, I; Defrise, M; Mol, CD, Sparsityenforcing regularisation and ISTA revisited,
Inverse Problems, vol. 32 no. 10
(October, 2016),
pp. 104001104001 [doi]
 O'Neal, WT; Wang, YG; Wu, HT; Zhang, ZM; Li, Y; Tereshchenko, LG; Estes, EH; Daubechies, I; Soliman, EZ, Electrocardiographic J Wave and Cardiovascular Outcomes in the General Population (from the Atherosclerosis Risk In Communities Study).,
The American Journal of Cardiology, vol. 118 no. 6
(September, 2016),
pp. 811815 [doi] [abs]
 Deligiannis, N; Mota, JFC; Cornelis, B; Rodrigues, MRD; Daubechies, I, Xray image separation via coupled dictionary learning,
Proceedings / ICIP ... International Conference on Image Processing, vol. 2016August
(August, 2016),
pp. 35333537, ISBN 9781467399616 [doi] [abs]
 Yin, R; Monson, E; Honig, E; Daubechies, I; Maggioni, M, Object recognition in art drawings: Transfer of a neural network,
IEEE International Conference on Acoustics Speech and Signal Processing, vol. 2016May
(May, 2016),
pp. 22992303, ISSN 15206149, ISBN 9781479999880 [doi] [abs]
 Daubechies, I; Wang, YG; Wu, HT, ConceFT: concentration of frequency and time via a multitapered synchrosqueezed transform.,
Philosophical Transactions A, vol. 374 no. 2065
(April, 2016),
pp. 20150193, ISSN 1364503X [doi] [abs]
 Huang, NE; Daubechies, I; Hou, TY, Adaptive data analysis: theory and applications.,
Philosophical Transactions A, vol. 374 no. 2065
(April, 2016),
pp. 20150207, ISSN 1364503X [doi]
 Yin, R; Cornelis, B; Fodor, G; Ocon, N; Dunson, D; Daubechies, I, Removing Cradle Artifacts in XRay Images of Paintings,
SIAM Journal on Imaging Sciences, vol. 9 no. 3
(January, 2016),
pp. 12471272 [doi]
Dolbow, John E.
 Zhang, Z; Dolbow, JE, Remeshing strategies for large deformation problems with frictional contact and nearly incompressible materials,
International Journal for Numerical Methods in Engineering, vol. 109 no. 9
(March, 2017),
pp. 12891314 [doi]
 Stershic, AJ; Dolbow, JE; Moës, N, The Thick LevelSet model for dynamic fragmentation,
Engineering Fracture Mechanics, vol. 172
(March, 2017),
pp. 3960 [doi]
 Spencer, BW; Jiang, W; Dolbow, JE; Peco, C, Pellet cladding mechanical interaction modeling using the extended finite element method,
Top Fuel 2016: LWR Fuels with Enhanced Safety and Performance
(January, 2016),
pp. 929938, ISBN 9780894487309 [abs]
Dunson, David B.
 Durante, D; Dunson, DB; Vogelstein, JT, Nonparametric Bayes Modeling of Populations of Networks,
Journal of the American Statistical Association
(June, 2017),
pp. 115 [doi] [abs]
 Schaich Borg, J; Srivastava, S; Lin, L; Heffner, J; Dunson, D; Dzirasa, K; de Lecea, L, Rat intersubjective decisions are encoded by frequencyspecific oscillatory contexts.,
Brain and Behavior, vol. 7 no. 6
(June, 2017),
pp. e00710 [doi] [abs]
 Zhu, B; Dunson, DB, Bayesian Functional Data Modeling for Heterogeneous Volatility,
Bayesian Analysis, vol. 12 no. 2
(June, 2017),
pp. 335350 [doi]
 Moffitt, AB; Ondrejka, SL; McKinney, M; Rempel, RE; Goodlad, JR; Teh, CH; Leppa, S; Mannisto, S; Kovanen, PE; Tse, E; AuYeung, RKH; Kwong, YL; Srivastava, G; Iqbal, J; Yu, J; Naresh, K; Villa, D; Gascoyne, RD; Said, J; Czader, MB; Chadburn, A; Richards, KL; Rajagopalan, D; Davis, NS; Smith, EC; Palus, BC; Tzeng, TJ; Healy, JA; Lugar, PL; Datta, J; Love, C; Levy, S; Dunson, DB; Zhuang, Y; Hsi, ED; Dave, SS, Enteropathyassociated T cell lymphoma subtypes are characterized by loss of function of SETD2.,
The Journal of Experimental Medicine, vol. 214 no. 5
(May, 2017),
pp. 13711386 [doi] [abs]
 McKinney, M; Moffitt, AB; Gaulard, P; Travert, M; De Leval, L; Nicolae, A; Raffeld, M; Jaffe, ES; Pittaluga, S; Xi, L; Heavican, T; Iqbal, J; Belhadj, K; DelfauLarue, MH; Fataccioli, V; Czader, MB; Lossos, IS; ChapmanFredricks, JR; Richards, KL; Fedoriw, Y; Ondrejka, SL; Hsi, ED; Low, L; Weisenburger, D; Chan, WC; MehtaShah, N; Horwitz, S; BernalMizrachi, L; Flowers, CR; Beaven, AW; Parihar, M; Baseggio, L; Parrens, M; Moreau, A; Sujobert, P; Pilichowska, M; Evens, AM; Chadburn, A et al., The Genetic Basis of Hepatosplenic Tcell Lymphoma.,
Cancer Discovery, vol. 7 no. 4
(April, 2017),
pp. 369379 [doi] [abs]
 Dunson, DB, Toward Automated Prior Choice,
Statistical science : a review journal of the Institute of Mathematical Statistics, vol. 32 no. 1
(February, 2017),
pp. 4143 [doi]
 Johndrow, JE; Bhattacharya, A; Dunson, DB, Tensor decompositions and sparse loglinear models,
Annals of statistics, vol. 45 no. 1
(February, 2017),
pp. 138 [doi]
 Lock, EF; Dunson, DB, Bayesian genome and epigenomewide association studies with gene level dependence.,
Biometrics
(January, 2017) [doi] [abs]
 Wang, L; Durante, D; Jung, RE; Dunson, DB, Bayesian networkresponse regression.,
Bioinformatics
(January, 2017) [doi] [abs]
 Lin, L; Rao, V; Dunson, D, Bayesian nonparametric inference on the Stiefel manifold,
Statistica Sinica
(2017) [doi]
 Datta, J; Dunson, DB, Bayesian inference on quasisparse count data,
Biometrika, vol. 103 no. 4
(December, 2016),
pp. 971983 [doi]
 Lin, L; St. Thomas, B; Zhu, H; Dunson, DB, Extrinsic Local Regression on ManifoldValued Data,
Journal of the American Statistical Association
(July, 2016),
pp. 113 [doi]
 Kunihama, T; Herring, AH; Halpern, CT; Dunson, DB, Nonparametric Bayes modeling with sample survey weights,
Statistics & Probability Letters, vol. 113
(June, 2016),
pp. 4148 [doi]
 Rao, V; Lin, L; Dunson, DB, Data augmentation for models based on rejection sampling.,
Biometrika, vol. 103 no. 2
(June, 2016),
pp. 319335 [doi] [abs]
 Guhaniyogi, R; Dunson, DB, Compressed Gaussian process for manifold regression,
Journal of machine learning research : JMLR, vol. 17
(May, 2016) [abs]
 Kabisa, ST; Dunson, DB; Morris, JS, Online Variational Bayes Inference for HighDimensional Correlated Data,
Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 25 no. 2
(April, 2016),
pp. 426444 [doi]
 Yang, Y; Dunson, DB, Bayesian manifold regression,
Annals of statistics, vol. 44 no. 2
(April, 2016),
pp. 876905 [doi]
 Zhou, J; Herring, AH; Bhattacharya, A; Olshan, AF; Dunson, DB, Nonparametric Bayes modeling for case control studies with many predictors.,
Biometrics, vol. 72 no. 1
(March, 2016),
pp. 184192 [doi] [abs]
 Tang, K; Dunson, DB; Su, Z; Liu, R; Zhang, J; Dong, J, Subspace segmentation by dense block and sparse representation.,
Neural Networks, vol. 75
(March, 2016),
pp. 6676 [doi] [abs]
 Kunihama, T; Dunson, DB, Nonparametric Bayes inference on conditional independence,
Biometrika, vol. 103 no. 1
(March, 2016),
pp. 3547 [doi]
 Van Den Boom, W; Dunson, D; Reeves, G, Quantifying uncertainty in variable selection with arbitrary matrices,
2015 IEEE 6th International Workshop on Computational Advances in MultiSensor Adaptive Processing, CAMSAP 2015
(January, 2016),
pp. 385388, ISBN 9781479919635 [doi] [abs]
 Yin, R; Cornelis, B; Fodor, G; Ocon, N; Dunson, D; Daubechies, I, Removing Cradle Artifacts in XRay Images of Paintings,
SIAM Journal on Imaging Sciences, vol. 9 no. 3
(January, 2016),
pp. 12471272 [doi]
 Wang, X; Dunson, D; Leng, C, No penalty no tears: Least squares in highdimensional linear models,
33rd International Conference on Machine Learning, ICML 2016, vol. 4
(January, 2016),
pp. 26852706, ISBN 9781510829008 [abs]
 Wang, X; Dunson, D; Leng, C, DECOrrelated feature space partitioning for distributed sparse regression,
Advances in Neural Information Processing Systems
(January, 2016),
pp. 802810 [abs]
Durrett, Richard T.
 Nanda, M; Durrett, R, Spatial evolutionary games with weak selection,
Proceedings of the National Academy of Sciences of USA, vol. 114 no. 23
(June, 2017),
pp. 60466051 [doi]
 Bessonov, M; Durrett, R, Phase transitions for a planar quadratic contact process,
Advances in Applied Mathematics, vol. 87
(June, 2017),
pp. 82107 [doi]
 Durrett, R; Fan, WTL, Genealogies in expanding populations,
The annals of applied probability : an official journal of the Institute of Mathematical Statistics, vol. 26 no. 6
(December, 2016),
pp. 34563490 [doi]
 Cox, JT; Durrett, R, Evolutionary games on the torus with weak selection,
Stochastic Processes and their Applications, vol. 126 no. 8
(August, 2016),
pp. 23882409 [doi]
 Ryser, MD; Worni, M; Turner, EL; Marks, JR; Durrett, R; Hwang, ES, Outcomes of Active Surveillance for Ductal Carcinoma in Situ: A Computational Risk Analysis.,
Journal of the National Cancer Institute, vol. 108 no. 5
(May, 2016) [doi] [abs]
 Durrett, R; Foo, J; Leder, K, Spatial Moran models, II: cancer initiation in spatially structured tissue.,
Journal of Mathematical Biology, vol. 72 no. 5
(April, 2016),
pp. 13691400, ISSN 03036812 [doi] [abs]
Fernandes de Oliveira, Goncalo M.
 Oliveira, G, Gerbes on G2 manifolds,
Journal of Geometry and Physics, vol. 114
(April, 2017),
pp. 570580 [doi]
 Oliveira, G, G 2Monopoles with Singularities (Examples),
Letters in Mathematical Physics, vol. 106 no. 11
(November, 2016),
pp. 14791497 [doi]
 Oliveira, G, Monopoles on AC 3manifolds,
Journal of the London Mathematical Society, vol. 93 no. 3
(June, 2016),
pp. 785810, ISSN 00246107 [jlms.jdw017.abstract], [doi]
 Oliveira, G, Calabi–Yau Monopoles for the Stenzel Metric,
Communications in Mathematical Physics, vol. 341 no. 2
(January, 2016),
pp. 699728, ISSN 00103616 [repository], [doi]
Getz, Jayce R.
 Getz, JR, A fourvariable automorphic kernel function,
Research in the Mathematical Sciences, vol. 3 no. 1
(December, 2016) [doi]
Hahn, Heekyoung
 Hahn, H, On Classical groups detected by the triple tensor product and the Littlewood–Richardson semigroup,
Research in Number Theory, vol. 2 no. 1
(December, 2016),
pp. 112 [doi]
 Hahn, H, On tensor third $L$functions of automorphic representations of $GL_n(\mathbb {A}_F)$,
Proceedings of the American Mathematical Society, vol. 144 no. 12
(May, 2016),
pp. 50615069 [doi]
 H. Hahn, On tensor thrid Lfunctions of automorphic representations of GL_n(A_F),
Proc. Amer. Math. Soc.
(2016)
 H. Hahn, On classical groups detected by the triple tensor product and the LittlewoodRichardson semigroup
(2016)
Hain, Richard
(search)
 Arapura, D; Dimca, A; Hain, R, On the fundamental groups of normal varieties,
Communications in Contemporary Mathematics, vol. 18 no. 04
(August, 2016),
pp. 15500651550065, ISSN 02191997 [doi]
 Hain, R, Notes on the Universal Elliptic KZB Equation,
Pure and Applied Mathematics Quarterly, vol. 12 no. 2
(July, 2016), International Press [arXiv:1309.0580], [1309.0580v3] [abs]
 Hain, R, The Hodgede Rham theory of modular groups,
in Recent Advances in Hodge Theory Period Domains, Algebraic Cycles, and Arithmetic, edited by Kerr, M; Pearlstein, G, vol. 427
(January, 2016),
pp. 422514, Cambridge University Press, ISBN 110754629X
 Hain, R; Matsumoto, M, Universal Mixed Elliptic Motives
(December, 2015) [arxiv:1512.03975] [abs]
 Hain, R, DeligneBeilinson Cohomology of Affine Groups
(July, 2015) [arXiv:1507.03144] [abs]
Harer, John
 Bendich, P; Chin, SP; Clark, J; Desena, J; Harer, J; Munch, E; Newman, A; Porter, D; Rouse, D; Strawn, N; Watkins, A, Topological and statistical behavior classifiers for tracking applications,
IEEE Transactions on Aerospace and Electronic Systems, vol. 52 no. 6
(December, 2016),
pp. 26442661 [doi] [abs]
 McGoff, KA; Guo, X; Deckard, A; Kelliher, CM; Leman, AR; Francey, LJ; Hogenesch, JB; Haase, SB; Harer, JL, The Local Edge Machine: inference of dynamic models of gene regulation.,
Genome Biology: biology for the postgenomic era, vol. 17 no. 1
(October, 2016),
pp. 214 [abs]
 Bendich, P; Gasparovic, E; Harer, J; Tralie, C, Geometric models for musical audio data,
LIPIcs, vol. 51
(June, 2016),
pp. 65.165.5, ISBN 9783959770095 [doi] [abs]
Hodel, Richard E.
 with Donald W. Loveland, Richard E. Hodel, S.G. Sterrett, Three Views of Logic: Mathematics, Philosophy, Computer Science
(2016)
Ji, Hangjie
 Y. Gao, H. Ji, J. Liu, T. P. Witelski, Global existence of solutions to a tear film model with locally elevated evaporation rates
(2017) [arXiv:1701.00853]
 H. Ji, T. P. Witelski, Finitetime thin film rupture driven by generalized evaporative loss,
Physica D: Nonlinear Phenomena
(2016) [arXiv:1601.03625]
Junge, Matthew S
 Hoffman, C; Johnson, T; Junge, M, From transience to recurrence with Poisson tree frogs,
The annals of applied probability : an official journal of the Institute of Mathematical Statistics, vol. 26 no. 3
(June, 2016),
pp. 16201635 [doi]
 Benjamini, I; Foxall, E; GurelGurevich, O; Junge, M; Kesten, H, Site recurrence for coalescing random walk,
Electronic Communications in Probability, vol. 21
(2016) [doi]
 Johnson, T; Junge, M, The critical density for the frog model is the degree of the tree,
Electronic Communications in Probability, vol. 21
(2016) [doi]
Layton, Anita T.
 Chen, Y; Fry, BC; Layton, AT, Modeling glucose metabolism and lactate production in the kidney.,
Mathematical Biosciences, vol. 289
(July, 2017),
pp. 116129 [doi] [abs]
 Layton, AT, A new microscope for the kidney: mathematics.,
American Journal of Physiology: Renal Physiology, vol. 312 no. 4
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