*HOMFLY-PT 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: one-column partitions*(February, 2016) [arXiv:1510.05330]

- 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*, LIPIcs, vol. 87 (September, 2017), ISBN 9783959770491 [doi] [abs] - Agarwal, PK; Kumar, N; Sintos, S; Suri, S,
*Efficient algorithms for k-regret minimizing sets*, 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*, LIPIcs, vol. 77 (June, 2017), pp. 71-716, ISBN 9783959770385 [doi] [abs] - Agarwal, PK; Pan, J; Victor, W,
*An efficient algorithm for placing electric vehicle charging stations*, LIPIcs, vol. 64 (December, 2016), pp. 7.1-7.12, 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; Har-Peled, S; Phillips, JM; Yi, K; Zhang, W,
*Nearest-Neighbor Searching Under Uncertainty II*, ACM Transactions on Algorithms, vol. 13 no. 1 (October, 2016), pp. 1-25 [doi] - Agarwal, PK; Kumar, N; Sintos, S; Suri, S,
*Range-max queries on uncertain data*, Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, vol. 26-June-01-July-2016 (June, 2016), pp. 465-476, ISBN 9781450341912 [doi] [abs] - Agarwal, PK; Fox, K; Munagala, K; Nath, A,
*Parallel algorithms for constructing range and nearest-neighbor searching data structures*, Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, vol. 26-June-01-July-2016 (June, 2016), pp. 429-440, 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. 6.1-6.16 [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. 311-325, ISSN 1041-4347 [doi] - Agarwal, PK; Fox, K; Salzman, O,
*An efficient algorithm for computing high-quality paths amid polygonal obstacles*, Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms, vol. 2 (January, 2016), pp. 1179-1192, ISBN 9781510819672 [abs] - Pan, J; Rao, V; Agarwal, PK; Gelfand, AE,
*Markov-modulated marked poisson processes for check-in data*, 33rd International Conference on Machine Learning, ICML 2016, vol. 5 (January, 2016), pp. 3311-3320, ISBN 9781510829008 [abs]

- 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. 1448-1468 [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. 235-252 [doi]

- 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. 733-753 [doi]

- 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. 2644-2661 [doi] [abs] - Bendich, P; Gasparovic, E; Harer, J; Tralie, C,
*Geometric models for musical audio data*, LIPIcs, vol. 51 (June, 2016), pp. 65.1-65.5, ISBN 9783959770095 [doi] [abs] - Bendich, P; Marron, JS; Miller, E; Pieloch, A; Skwerer, S,
*Persistent homology analysis of brain artery trees*, Annals of Applied Statistics, vol. 10 no. 1 (January, 2016), pp. 19 pages, ISSN 1932-6157 (to appear.) [repository], [doi] [abs] - Paul Bendich, Ellen Gasparovic, John Harer, and Christopher J. Tralie,
*Scaffoldings and Spines: Organizing High-Dimensional Data Using Cover Trees, Local Principal Component Analysis, and Persistent Homology*(2016) [1602.06245]

- 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, 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. 1457-1475, Springer Basel, ISSN 1424-0637 [arXiv:1402.3287 [math.DG]], [3287], [doi] [abs]

- 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. 345-357 [doi]

- 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 (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] - 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. 5778-5793 [doi] - Thompson, A; Robles, FE; Wilson, JW; Deb, S; Calderbank, R; Warren, WS,
*Dual-wavelength pump-probe 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 High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information*, IEEE Transactions on Information Theory, vol. 62 no. 11 (November, 2016), pp. 6459-6492 [doi] - Kumar, S; Calderbank, R; Pfister, HD,
*Beyond double transitivity: Capacity-achieving cyclic codes on erasure channels*, 2016 IEEE Information Theory Workshop, ITW 2016 (October, 2016), pp. 241-245, 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. 180-191, ISBN 9781467388917 [doi] [abs] - Vahid, A; Calderbank, R,
*Two-User Erasure Interference Channels With Local Delayed CSIT*, IEEE Transactions on Information Theory, vol. 62 no. 9 (September, 2016), pp. 4910-4923 [doi] - Nokleby, M; Beirami, A; Calderbank, R,
*Rate-distortion bounds on Bayes risk in supervised learning*, IEEE International Symposium on Information Theory - Proceedings, vol. 2016-August (August, 2016), pp. 2099-2103, ISBN 9781509018062 [doi] [abs] - Vahid, A; Calderbank, R,
*When does spatial correlation add value to delayed channel state information?*, IEEE International Symposium on Information Theory - Proceedings, vol. 2016-August (August, 2016), pp. 2624-2628, 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. 3035-3050 [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. 2016-May (May, 2016), pp. 4239-4243, 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. 941-948, ISBN 9781509018239 [doi] [abs] - Vahid, A; Shomorony, I; Calderbank, R,
*Informational bottlenecks in two-unicast wireless networks with delayed CSIT*, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015 (April, 2016), pp. 1256-1263, 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. 1933-1945 [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. 1844-1853 [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. 2016-February (February, 2016), pp. 549-553, ISBN 9781467385763 [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]

- 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, vol. 26 no. 2 (February, 2017), pp. 751-764 [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 [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] - Wu, H-T; 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. 463-472 [doi] [abs] - Daubechies, I; Defrise, M; Mol, CD,
*Sparsity-enforcing regularisation and ISTA revisited*, Inverse Problems, vol. 32 no. 10 (October, 2016), pp. 104001-104001 [doi] - O'Neal, WT; Wang, YG; Wu, H-T; Zhang, Z-M; 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. 811-815 [doi] [abs] - Deligiannis, N; Mota, JFC; Cornelis, B; Rodrigues, MRD; Daubechies, I,
*X-ray image separation via coupled dictionary learning*, Proceedings / ICIP ... International Conference on Image Processing, vol. 2016-August (August, 2016), pp. 3533-3537, 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. 2016-May (May, 2016), pp. 2299-2303, ISSN 1520-6149, ISBN 9781479999880 [doi] [abs] - Daubechies, I; Wang, YG; Wu, H-T,
*ConceFT: concentration of frequency and time via a multitapered synchrosqueezed transform.*, Philosophical Transactions A, vol. 374 no. 2065 (April, 2016), pp. 20150193, ISSN 1364-503X [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 1364-503X [doi] - Yin, R; Cornelis, B; Fodor, G; Ocon, N; Dunson, D; Daubechies, I,
*Removing Cradle Artifacts in X-Ray Images of Paintings*, SIAM Journal on Imaging Sciences, vol. 9 no. 3 (January, 2016), pp. 1247-1272 [doi]

- 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] - 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. 929-938, ISBN 9780894487309 [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 et al.,
*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] - 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] - Guhaniyogi, R; Qamar, S; Dunson, DB,
*Bayesian tensor regression*, Journal of machine learning research : JMLR, 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, vol. 33 no. 12 (June, 2017), pp. 1859-1866 [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 et al.,
*The Genetic Basis of Hepatosplenic T-cell Lymphoma.*, Cancer Discovery, vol. 7 no. 4 (April, 2017), pp. 369-379 [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. 41-43 [doi] - Johndrow, JE; Bhattacharya, A; Dunson, DB,
*Tensor decompositions and sparse log-linear models*, Annals of statistics, vol. 45 no. 1 (February, 2017), pp. 1-38 [doi] - Lin, L; Rao, V; Dunson, D,
*Bayesian nonparametric inference on the Stiefel manifold*, Statistica Sinica (2017) [doi] - Bhattacharya, A; Dunson, DB; Pati, D; Pillai, NS,
*Sub-optimality of some continuous shrinkage priors*, Stochastic Processes and their Applications, vol. 126 no. 12 (December, 2016), pp. 3828-3842 [doi] - Durante, D; Dunson, DB,
*Locally adaptive dynamic networks*, The annals of applied statistics, vol. 10 no. 4 (December, 2016), pp. 2203-2232 [doi] - Datta, J; Dunson, DB,
*Bayesian inference on quasi-sparse count data*, Biometrika, vol. 103 no. 4 (December, 2016), pp. 971-983 [doi] - Zhu, H; Strawn, N; Dunson, DB,
*Bayesian graphical models for multivariate functional data*, Journal of machine learning research : JMLR, vol. 17 (October, 2016), pp. 1-27 [abs] - Sarkar, A; Dunson, DB,
*Bayesian Nonparametric Modeling of Higher Order Markov Chains*, Journal of the American Statistical Association, vol. 111 no. 516 (October, 2016), pp. 1791-1803 [doi] - Durante, D; Dunson, DB; Vogelstein, JT,
*Nonparametric Bayes Modeling of Populations of Networks*, Journal of the American Statistical Association (August, 2016), pp. 1-15 [doi] [abs] - Li, D; Heyer, L; Jennings, VH; Smith, CA; Dunson, DB,
*Personalised estimation of a woman's most fertile days.*, European Journal of Contraception and Reproductive Health Care, vol. 21 no. 4 (August, 2016), pp. 323-328 [doi] [abs] - Lin, L; St. Thomas, B; Zhu, H; Dunson, DB,
*Extrinsic Local Regression on Manifold-Valued Data*, Journal of the American Statistical Association (July, 2016), pp. 1-13 [doi] - Kunihama, T; Herring, AH; Halpern, CT; Dunson, DB,
*Nonparametric Bayes modeling with sample survey weights*, Statistics & Probability Letters, vol. 113 (June, 2016), pp. 41-48 [doi] - Rao, V; Lin, L; Dunson, DB,
*Data augmentation for models based on rejection sampling.*, Biometrika, vol. 103 no. 2 (June, 2016), pp. 319-335 [doi] [abs] - Guhaniyogi, R; Dunson, DB,
*Compressed Gaussian process for manifold regression*, Journal of machine learning research : JMLR, vol. 17 (May, 2016) [abs] - Yang, Y; Dunson, DB,
*Bayesian Conditional Tensor Factorizations for High-Dimensional Classification*, Journal of the American Statistical Association, vol. 111 no. 514 (April, 2016), pp. 656-669 [doi] - Kabisa, ST; Dunson, DB; Morris, JS,
*Online Variational Bayes Inference for High-Dimensional 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. 426-444 [doi] - Yang, Y; Dunson, DB,
*Bayesian manifold regression*, Annals of statistics, vol. 44 no. 2 (April, 2016), pp. 876-905 [doi] - Zhou, J; Herring, AH; Bhattacharya, A; Olshan, AF; Dunson, DB; National Birth Defects Prevention Study, ,
*Nonparametric Bayes modeling for case control studies with many predictors.*, Biometrics, vol. 72 no. 1 (March, 2016), pp. 184-192 [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. 66-76 [doi] [abs] - Kunihama, T; Dunson, DB,
*Nonparametric Bayes inference on conditional independence*, Biometrika, vol. 103 no. 1 (March, 2016), pp. 35-47 [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 Multi-Sensor Adaptive Processing, CAMSAP 2015 (January, 2016), pp. 385-388, ISBN 9781479919635 [doi] [abs] - Chabout, J; Sarkar, A; Patel, SR; Radden, T; Dunson, DB; Fisher, SE; Jarvis, ED,
*A Foxp2 Mutation Implicated in Human Speech Deficits Alters Sequencing of Ultrasonic Vocalizations in Adult Male Mice.*, Frontiers in Behavioral Neuroscience, vol. 10 (January, 2016), pp. 197 [doi] [abs] - Yin, R; Cornelis, B; Fodor, G; Ocon, N; Dunson, D; Daubechies, I,
*Removing Cradle Artifacts in X-Ray Images of Paintings*, SIAM Journal on Imaging Sciences, vol. 9 no. 3 (January, 2016), pp. 1247-1272 [doi] - Wang, X; Dunson, D; Leng, C,
*No penalty no tears: Least squares in high-dimensional linear models*, 33rd International Conference on Machine Learning, ICML 2016, vol. 4 (January, 2016), pp. 2685-2706, 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. 802-810 [abs] - Canale, A; Dunson, DB,
*Multiscale Bernstein polynomials for densities*, Statistica Sinica (2016) [doi]

- 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. 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] - Durrett, R; Fan, W-TL,
*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. 3456-3490 [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. 2388-2409 [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. 1369-1400, ISSN 0303-6812 [doi] [abs]

**Fernandes de Oliveira, Goncalo M.**

- Oliveira, G,
*Gerbes on G2 manifolds*, Journal of Geometry and Physics, vol. 114 (April, 2017), pp. 570-580 [doi] - Oliveira, G,
*G 2-Monopoles with Singularities (Examples)*, Letters in Mathematical Physics, vol. 106 no. 11 (November, 2016), pp. 1479-1497 [doi] - Oliveira, G,
*Monopoles on AC 3-manifolds*, Journal of the London Mathematical Society, vol. 93 no. 3 (June, 2016), pp. 785-810, ISSN 0024-6107 [jlms.jdw017.abstract], [doi] - Oliveira, G,
*Calabi–Yau Monopoles for the Stenzel Metric*, Communications in Mathematical Physics, vol. 341 no. 2 (January, 2016), pp. 699-728, ISSN 0010-3616 [repository], [doi]

- Getz, JR,
*A four-variable automorphic kernel function*, Research in the Mathematical Sciences, vol. 3 no. 1 (December, 2016) [doi]

- 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. 1-12 [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. 5061-5069 [doi] - H. Hahn,
*On tensor thrid L-functions 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 Littlewood-Richardson semigroup*(2016)

- Arapura, D; Dimca, A; Hain, R,
*On the fundamental groups of normal varieties*, Communications in Contemporary Mathematics, vol. 18 no. 04 (August, 2016), pp. 1550065-1550065, ISSN 0219-1997 [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 Hodge-de 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. 422-514, Cambridge University Press, ISBN 110754629X - Hain, R; Matsumoto, M,
*Universal Mixed Elliptic Motives*(December, 2015) [arxiv:1512.03975] [abs] - Hain, R,
*Deligne-Beilinson Cohomology of Affine Groups*(July, 2015) [arXiv:1507.03144] [abs]

- 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. 2644-2661 [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 post-genomic 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. 65.1-65.5, ISBN 9783959770095 [doi] [abs]

- with Donald W. Loveland, Richard E. Hodel, S.G. Sterrett,
*Three Views of Logic: Mathematics, Philosophy, Computer Science*(2016)

- Hoffman, C; Johnson, T; Junge, M,
*Recurrence and transience for the frog model on trees*, Annals of Probability, vol. 45 no. 5 (September, 2017), pp. 2826-2854 [doi] - 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. 1620-1635 [doi] - Benjamini, I; Foxall, E; Gurel-Gurevich, 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]

- Edwards, A; Layton, AT,
*Cell Volume Regulation in the Proximal Tubule of Rat Kidney : Proximal Tubule Cell Volume Regulation.*, Bulletin of Mathematical Biology (September, 2017) [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] - Layton, AT; Laghmani, K; Vallon, V; Edwards, A,
*Solute transport and oxygen consumption along the nephrons: effects of Na+ transport inhibitors.*, American Journal of Physiology: Renal Physiology, vol. 311 no. 6 (December, 2016), pp. F1217-F1229 [doi] [abs] - Layton, AT; Vallon, V; Edwards, A,
*A computational model for simulating solute transport and oxygen consumption along the nephrons.*, American Journal of Physiology: Renal Physiology, vol. 311 no. 6 (December, 2016), pp. F1378-F1390 [doi] [abs] - Sgouralis, I; Kett, MM; Ow, CPC; Abdelkader, A; Layton, AT; Gardiner, BS; Smith, DW; Lankadeva, YR; Evans, RG,
*Bladder urine oxygen tension for assessing renal medullary oxygenation in rabbits: experimental and modeling studies.*, American journal of physiology. Regulatory, integrative and comparative physiology, vol. 311 no. 3 (September, 2016), pp. R532-R544 [doi] [abs] - Layton, AT,
*Recent advances in renal hypoxia: insights from bench experiments and computer simulations.*, American Journal of Physiology: Renal Physiology, vol. 311 no. 1 (July, 2016), pp. F162-F165 [doi] [abs] - Layton, AT; Vallon, V; Edwards, A,
*Predicted consequences of diabetes and SGLT inhibition on transport and oxygen consumption along a rat nephron.*, American Journal of Physiology: Renal Physiology, vol. 310 no. 11 (June, 2016), pp. F1269-F1283 [doi] [abs] - Liu, R; Layton, AT,
*Modeling the effects of positive and negative feedback in kidney blood flow control.*, Mathematical Biosciences, vol. 276 (2016), pp. 8-18 [doi] [abs] - Chen, Y; Fry, BC; Layton, AT,
*Modeling Glucose Metabolism in the Kidney.*, Bulletin of Mathematical Biology, vol. 78 no. 6 (June, 2016), pp. 1318-1336 [doi] [abs] - Nganguia, H; Young, Y-N; Layton, AT; Lai, M-C; Hu, W-F,
*Electrohydrodynamics of a viscous drop with inertia.*, Physical review. E, vol. 93 no. 5 (May, 2016), pp. 053114 [doi] [abs] - Sgouralis, I; Maroulas, V; Layton, AT,
*Transfer Function Analysis of Dynamic Blood Flow Control in the Rat Kidney.*, Bulletin of Mathematical Biology, vol. 78 no. 5 (May, 2016), pp. 923-960 [doi] [abs] - Herschlag, G; Liu, J-G; Layton, AT,
*Fluid extraction across pumping and permeable walls in the viscous limit*, Physics of Fluids, vol. 28 no. 4 (April, 2016), pp. 041902-041902 [doi] - Sgouralis, I; Layton, AT,
*Conduction of feedback-mediated signal in a computational model of coupled nephrons.*, Mathematical Medicine and Biology: A Journal of the IMA, vol. 33 no. 1 (March, 2016), pp. 87-106 [doi] [abs] - Fry, BC; Edwards, A; Layton, AT,
*Impact of nitric-oxide-mediated vasodilation and oxidative stress on renal medullary oxygenation: a modeling study.*, American Journal of Physiology: Renal Physiology, vol. 310 no. 3 (2016), pp. F237-F247 [doi] [abs] - Xie, L; Layton, AT; Wang, N; Larson, PEZ; Zhang, JL; Lee, VS; Liu, C; Johnson, GA,
*Dynamic contrast-enhanced quantitative susceptibility mapping with ultrashort echo time MRI for evaluating renal function.*, American Journal of Physiology: Renal Physiology, vol. 310 no. 2 (2016), pp. F174-F182 [doi] [abs]

- Baldwin, JA; Levine, AS; Sarkar, S,
*Khovanov homology and knot Floer homology for pointed links*, Journal of Knot Theory & Its Ramifications, vol. 26 no. 02 (February, 2017), pp. 1740004-1740004 [doi] - Greene, J; Levine, A,
*Strong Heegaard diagrams and strong L–spaces*, Algebraic and Geometric Topology, vol. 16 no. 6 (December, 2016), pp. 3167-3208 [doi] - Hedden, M; Levine, AS,
*Splicing knot complements and bordered Floer homology*, Journal für die Reine und Angewandte Mathematik (Crelle's Journal), vol. 2016 no. 720 (January, 2016) [doi] - LEVINE, ADAMSIMON,
*NONSURJECTIVE SATELLITE OPERATORS AND PIECEWISE-LINEAR CONCORDANCE*, Forum of Mathematics, Sigma, vol. 4 (2016) [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, 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]

- 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; 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] - Huang, H; Liu, JG,
*Discrete-in-time random particle blob method for the Keller-Segel equation and convergence analysis*, Communications in Mathematical Sciences, vol. 15 no. 7 (January, 2017), pp. 1821-1842 [doi] [abs] - 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] - J.-G. Liu and J. Wang,
*A generalized Sz. Nagy inequality in higher dimensions and the critical thin film equation*, Nonlinearity, vol. 30 (2017), pp. 35-60 - Liu, J-G; Cong, W,
*Uniform $L^{\infty}$ boundedness for a degenerate parabolic-parabolic Keller-Segel model*, Discrete and Continuous Dynamical Systems - Series B, vol. 22 no. 2 (2017), pp. 307-338 [doi] - Huang, H; Liu, J-G,
*A note on Monge–Ampère Keller–Segel equation*, Applied Mathematics Letters, vol. 61 (November, 2016), pp. 26-34 [doi] - Huang, H; Liu, J-G,
*Error estimates of the aggregation-diffusion splitting algorithms for the Keller-Segel equations*, Discrete and Continuous Dynamical Systems - Series B, vol. 21 no. 10 (November, 2016), pp. 3463-3478 [doi] - Liu, J-G; Huang, H,
*Well-posedness for the Keller-Segel equation with fractional Laplacian and the theory of propagation of chaos*, Kinetic and Related Models, vol. 9 no. 4 (September, 2016), pp. 715-748 [doi] - Liu, J-G; Cong, W,
*A degenerate $p$-Laplacian Keller-Segel model*, Kinetic and Related Models, vol. 9 no. 4 (September, 2016), pp. 687-714 [doi] - Liu, J-G; Wang, J,
*A Note on L ∞ $L^{\infty}$ -Bound and Uniqueness to a Degenerate Keller-Segel Model*, Acta Applicandae Mathematicae, vol. 142 no. 1 (April, 2016), pp. 173-188, ISSN 0167-8019 [doi] - Herschlag, G; Liu, J-G; Layton, AT,
*Fluid extraction across pumping and permeable walls in the viscous limit*, Physics of Fluids, vol. 28 no. 4 (April, 2016), pp. 041902-041902, ISSN 1070-6631 [doi] - Liu, J-G; Pego, RL,
*On generating functions of Hausdorff moment sequences*, Transactions of the American Mathematical Society, vol. 368 no. 12 (February, 2016), pp. 8499-8518 [doi] - Chen, J; Liu, J-G; Zhou, Z,
*On a Schrödinger--Landau--Lifshitz System: Variational Structure and Numerical Methods*, Multiscale Modeling & Simulation, vol. 14 no. 4 (January, 2016), pp. 1463-1487 [doi] - Liu, J-G; Xu, X,
*Existence Theorems for a Multidimensional Crystal Surface Model*, SIAM Journal on Mathematical Analysis, vol. 48 no. 6 (January, 2016), pp. 3667-3687 [doi] - Liu, JG; Zhang, Y,
*Convergence of diffusion-drift many particle systems in probability under a sobolev norm*, Proceedings of Particle Systems and Partial Differential Equations - III, Springer Proceedings in Mathematics and Statistics, vol. 162 (January, 2016), pp. 195-223, Springer, ISBN 9783319321424 [doi] [abs] - J.-G. Liu and R. Yang,
*Propagation of chaos for large Brownian particle system with Coulomb interaction*, Research in the Mathematical Sciences, vol. 3 no. 40 (2016) - Y. Duan and J.-G. Liu,
*Error estimate of the particle method for the b-equation*, Methods and Applications of Analysis, vol. 23 (2016), pp. 119-154 - J.-G. Liu and Y. Zhang,
*Convergence of stochastic interacting particle systems in probability under a Sobolev norm*, Annals of Mathematical Sciences and Applications, vol. 1 (2016), pp. 251-299 - P. Degond, J.-G. Liu, S. Merino-Aceituno, T. Tardiveau,
*Continuum dynamics of the intention field under weakly cohesive social interactions*, Math. Models Methods Appl. Sci. (2016) - Y. Gao, J.-G. Liu, J. Lu,
*Continuum limit of a mesoscopic model of step motion on vicinal surfaces*, J. Nonlinear Science (2016) - J.-G. Liu and J. Wang,
*Refined hyper-contractivity and uniqueness for the Keller-Segel equations*, Applied Math Letter, vol. 52 (2016), pp. 212-219

- 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] - 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 (September, 2017) [doi] - Lu, J; Thicke, K,
*Cubic scaling algorithms for RPA correlation using interpolative separable density fitting*, Journal of Computational Physics (September, 2017) [doi] - Lu, J; Steinerberger, S,
*A variation on the Donsker-Varadhan inequality for the principal eigenvalue.*, Proceedings of the Royal Society of London: 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.*, 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] - 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] - 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] - Lu, J; Yang, H,
*Preconditioning Orbital Minimization Method for Planewave Discretization*, Multiscale Modeling & Simulation, vol. 15 no. 1 (January, 2017), pp. 254-273 [doi] - 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] - 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, vol. 26 no. 1 (January, 2017), pp. 160-171 [doi] [abs] - Mendl, CB; Lu, J; Lukkarinen, J,
*Thermalization of oscillator chains with onsite anharmonicity and comparison with kinetic theory.*, Physical review. E, vol. 94 no. 6-1 (December, 2016), pp. 062104 [doi] [abs] - Li, Q; Lu, J; Sun, W,
*Half-space kinetic equations with general boundary conditions*, Mathematics of Computation, vol. 86 no. 305 (October, 2016), pp. 1269-1301 [doi] - Yu, T-Q; Lu, J; Abrams, CF; Vanden-Eijnden, E,
*Multiscale implementation of infinite-swap replica exchange molecular dynamics.*, Proceedings of the National Academy of Sciences of USA, vol. 113 no. 42 (October, 2016), pp. 11744-11749 [doi] [abs] - Lu, J; Zhou, Z,
*Improved sampling and validation of frozen Gaussian approximation with surface hopping algorithm for nonadiabatic dynamics.*, Journal of Chemical Physics, vol. 145 no. 12 (September, 2016), pp. 124109 [doi] [abs] - Li, X; Lu, J,
*Traction boundary conditions for molecular static simulations*, Computer Methods in Applied Mechanics and Engineering, vol. 308 (August, 2016), pp. 310-329 [doi] - Lin, L; Lu, J,
*Decay estimates of discretized Green’s functions for Schrödinger type operators*, Science China Mathematics, vol. 59 no. 8 (August, 2016), pp. 1561-1578 [doi] - Lai, R; Lu, J,
*Localized density matrix minimization and linear-scaling algorithms*, Journal of Computational Physics, vol. 315 (June, 2016), pp. 194-210 [doi] - Lu, J; Ying, L,
*Sparsifying preconditioner for soliton calculations*, Journal of Computational Physics, vol. 315 (June, 2016), pp. 458-466 [doi] - Lu, J; Wirth, B; Yang, H,
*Combining 2D synchrosqueezed wave packet transform with optimization for crystal image analysis*, Journal of the Mechanics and Physics of Solids, vol. 89 (2016), pp. 194-210, ISSN 0022-5096 [arXiv:1501.06254], [repository], [doi] [abs] - Chen, J; Lu, J,
*Analysis of the divide-and-conquer method for electronic structure calculations*, Mathematics of Computation, vol. 85 no. 302 (January, 2016), pp. 2919-2938 [doi] - Delgadillo, R; Lu, J; Yang, X,
*Gauge-Invariant Frozen Gaussian Approximation Method for the Schrödinger Equation with Periodic Potentials*, SIAM Journal on Scientific Computing, vol. 38 no. 4 (January, 2016), pp. A2440-A2463 [doi]

- 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] - Iglesias, M; Lu, Y; Stuart, A,
*A Bayesian level set method for geometric inverse problems*, Interfaces and Free Boundaries, vol. 18 no. 2 (2016), pp. 181-217 [doi]

- Ma, D,
*Inverse of some matrix related to double zeta values of odd weight*, Journal of Number Theory, vol. 166 (September, 2016), pp. 166-180 [doi] - Ma, D,
*Period polynomial relations between formal double zeta values of odd weight*, Mathematische Annalen, vol. 365 no. 1-2 (June, 2016), pp. 345-362 [doi]

- 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] - Gerber, S; Maggioni, M,
*Multiscale strategies for computing optimal transport*, Journal of machine learning research : JMLR, 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] - Liao, W; Maggioni, M; Vigogna, S,
*Learning adaptive multiscale approximations to data and functions near low-dimensional sets*, 2016 IEEE Information Theory Workshop, ITW 2016 (October, 2016), pp. 226-230, ISBN 9781509010905 [doi] [abs] - Goetzmann, WN; Jones, PW; Maggioni, M; Walden, J,
*Beauty is in the bid of the beholder: An empirical basis for style*, Research in Economics, vol. 70 no. 3 (September, 2016), pp. 388-402 [doi] - Wang, Y; Chen, G; Maggioni, M,
*High-Dimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies*, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9 no. 9 (September, 2016), pp. 4316-4324, ISSN 1939-1404 [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. 2016-May (May, 2016), pp. 2299-2303, ISSN 1520-6149, ISBN 9781479999880 [doi] [abs] - Maggioni, M; Minsker, S; Strawn, N,
*Multiscale dictionary learning: Non-asymptotic bounds and robustness*, Journal of machine learning research : JMLR, vol. 17 (January, 2016), ISSN 1532-4435 (accepted for publication.) [arxiv:1401.5833] [abs] - 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)

- Herschlag, G; Ravier, R; Mattingly, JC,
*Evaluating Partisan Gerrymandering in Wisconsin*(September, 2017) [abs] - Bakhtin, Y; Hurth, T; Lawley, SD; Mattingly, JC,
*Smooth invariant densities for random switching on the torus*(August, 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*(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] - Hairer, M; Mattingly, J,
*The strong Feller property for singular stochastic PDEs*(2016) [abs] - Tempkin, JOB; Koten, BV; Mattingly, JC; Dinner, AR; Weare, J,
*Trajectory stratification of stochastic dynamics*(2016) [abs]

- Berenstein, A; Braverman, M; Miller, E; Retakh, V; Weitsman, J,
*Andrei Zelevinsky, 1953–2013*, Advances in Mathematics, vol. 300 (September, 2016), pp. 1-4 [doi] - Berenstein, A; Braverman, M; Miller, E; Retakh, V; Weitsman, J,
*Andrei Zelevinsky, 1953-2013*, Advances in Mathematics, vol. 299 (August, 2016), pp. 601-604 [doi] - Kahle, T; Miller, E; O’Neill, C,
*Irreducible decomposition of binomial ideals*, Compositio Mathematica, vol. 152 no. 06 (June, 2016), pp. 1319-1332 [arXiv:1503.02607], [1503.02607], [doi] [abs] - Bendich, P; Marron, JS; Miller, E; Pieloch, A; Skwerer, S,
*Persistent homology analysis of brain artery trees*, Annals of Applied Statistics, vol. 10 no. 1 (January, 2016), pp. 19 pages [arXiv:1411.6652], [1411.6652v1] [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] - with Francis C. Motta, ; Patrick D. Shipman, ; Bethany D. Springer, ,
*Optimally Topologically Transitive Orbits in Discrete Dynamical Systems*, American Mathematical Monthly, vol. 123 no. 2 (July, 2015), pp. 115-115 [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] - Snyder-Mackler, N; Majoros, WH; Yuan, ML; Shaver, AO; Gordon, JB; Kopp, GH; Schlebusch, SA; Wall, JD; Alberts, SC; Mukherjee, S; Zhou, X; Tung, J,
*Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples.*, Genetics, vol. 203 no. 2 (June, 2016), pp. 699-714 [doi] [abs] - Zhao, S; Gao, C; Mukherjee, S; Engelhardt, BE,
*Bayesian group factor analysis with structured sparsity*, Journal of machine learning research : JMLR, vol. 17 (April, 2016), pp. 1-47 [abs] - Galinsky, KJ; Bhatia, G; Loh, P-R; Georgiev, S; Mukherjee, S; Patterson, NJ; Price, AL,
*Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia.*, The American Journal of Human Genetics, vol. 98 no. 3 (March, 2016), pp. 456-472 [doi] [abs] - Huang, B; Jarrett, NWD; Babu, S; Mukherjee, S; Yang, J,
*Cümülön: MatrixBased data analytics in the cloud with spot instances*, in Proceedings of the VLDB Endowment, vol. 9 (January, 2016), pp. 156-167 [abs]

- Cornwell, C; Ng, L; Sivek, S,
*Obstructions to Lagrangian concordance*, Algebraic and Geometric Topology, vol. 16 no. 2 (April, 2016), pp. 797-824 [arXiv:1411.1364], [doi]

- Mourrat, J-C; Nolen, J,
*Scaling limit of the corrector in stochastic homogenization*, The annals of applied probability : an official journal of the Institute of Mathematical Statistics, 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] - Gloria, A; Nolen, J,
*A Quantitative Central Limit Theorem for the Effective Conductance on the Discrete Torus*, Communications on Pure & Applied Mathematics, vol. 69 no. 12 (2015), pp. 2304-2348, ISSN 0010-3640 [cpa.21614], [doi] - Nolen, J,
*Normal approximation for the net flux through a random conductor*, Stochastic Partial Differential Equations: Analysis and Computations, vol. 4 no. 3 (2015), pp. 439-476, ISSN 2194-0401 [2186], [doi] - Nolen, JH; Roquejoffre, J-M; Ryzhik, L,
*Refined long time asymptotics for Fisher-KPP fronts*(2016) - Hamel, F; Nolen, J; Roquejoffre, J-M; Ryzhik, L,
*The logarithmic delay of KPP fronts in a periodic medium*, Journal of the European Mathematical Society, vol. 18 no. 3 (2015), pp. 465-505 [6173], [doi]

- 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] - Glasner, K; Orizaga, S,
*Improving the accuracy of convexity splitting methods for gradient flow equations*, Journal of Computational Physics, vol. 315 (June, 2016), pp. 52-64 [doi] - Orizaga, S; Glasner, K,
*Instability and reorientation of block copolymer microstructure by imposed electric fields.*, Physical review. E, vol. 93 no. 5 (May, 2016), pp. 052504 [doi] [abs]

- A. O. Petters and M. C. Werner,
*Gravitational Lensing and Black Holes*(Spring, 2017), Springer, in preparation - A. O. Petters and X. Dong,
*An Introduction to Mathematical Finance: Understanding and Building Financial Intuition*, SUMAT (Winter, 2016), Springer, in preparation

- 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 (September, 2017) [doi] - 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] - Kumar, S; Calderbank, R; Pfister, HD,
*Beyond double transitivity: Capacity-achieving cyclic codes on erasure channels*, 2016 IEEE Information Theory Workshop, ITW 2016 (October, 2016), pp. 241-245, ISBN 9781509010905 [doi] [abs] - Hager, C; Amat, AGI; Pfister, HD; Brannstrom, F,
*Density evolution for deterministic generalized product codes with higher-order modulation*, International Symposium on Turbo Codes and Iterative Information Processing, ISTC, vol. 2016-October (October, 2016), pp. 236-240, ISBN 9781509034017 [doi] [abs] - Sanatkar, MR; Pfister, HD,
*Increasing the rate of spatially-coupled codes via optimized irregular termination*, International Symposium on Turbo Codes and Iterative Information Processing, ISTC, vol. 2016-October (October, 2016), pp. 31-35, ISBN 9781509034017 [doi] [abs] - Sabag, O; Permuter, HH; Pfister, HD,
*A single-letter upper bound on the feedback capacity of unifilar finite-state channels*, IEEE International Symposium on Information Theory - Proceedings, vol. 2016-August (August, 2016), pp. 310-314, ISBN 9781509018062 [doi] [abs] - Pfister, HD; Urbanke, R,
*Near-optimal finite-length scaling for polar codes over large alphabets*, IEEE International Symposium on Information Theory - Proceedings, vol. 2016-August (August, 2016), pp. 215-219, ISBN 9781509018062 [doi] [abs] - Reeves, G; Pfister, HD,
*The replica-symmetric prediction for compressed sensing with Gaussian matrices is exact*, IEEE International Symposium on Information Theory - Proceedings, vol. 2016-August (August, 2016), pp. 665-669, ISBN 9781509018062 [doi] [abs] - Hager, C; Pfister, HD; Graell I Amat, A; Brannstrom, F,
*Deterministic and ensemble-based spatially-coupled product codes*, IEEE International Symposium on Information Theory - Proceedings, vol. 2016-August (August, 2016), pp. 2114-2118, ISBN 9781509018062 [doi] [abs] - Kumar, S; Calderbank, R; Pfister, HD,
*Reed-muller codes achieve capacity on the quantum erasure channel*, IEEE International Symposium on Information Theory - Proceedings, vol. 2016-August (August, 2016), pp. 1750-1754, ISBN 9781509018062 [doi] [abs] - Kudekar, S; Kumar, S; Mondelli, M; Pfister, HD; Urbankez, R,
*Comparing the bit-MAP and block-MAP decoding thresholds of reed-muller codes on BMS channels*, IEEE International Symposium on Information Theory - Proceedings, vol. 2016-August (August, 2016), pp. 1755-1759, ISBN 9781509018062 [doi] [abs] - Hager, C; Pfister, HD; Amat, AG; Brannstrom, F,
*Density evolution and error floor analysis for staircase and braided codes*, 2016 Optical Fiber Communications Conference and Exhibition, OFC 2016 (August, 2016), ISBN 9781943580071 [abs] - Kudekar, S; Pfister, HD; Kumar, S; Şaşoǧlu, E; Mondelli, M; Urbanke, R,
*Reed-Muller codes achieve capacity on erasure channels*, Proceedings of the Annual ACM Symposium on Theory of Computing, vol. 19-21-June-2016 (June, 2016), pp. 658-669, ISBN 9781450341325 [doi] [abs] - Kumar, S; Vem, A; Narayanan, K; Pfister, HD,
*Spatially-coupled codes for write-once memories*, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015 (April, 2016), pp. 125-131, ISBN 9781509018239 [doi] [abs] - Lian, M; Pfister, HD,
*Belief-propagation reconstruction for compressed sensing: Quantization vs. Gaussian approximation*, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015 (April, 2016), pp. 1106-1113, ISBN 9781509018239 [doi] [abs] - Kudekar, S; Kumar, S; Mondelli, M; Pfister, HD; Sasoglu, E; Urbanke, RL,
*Reed-Muller codes achieve capacity on erasure channels.*, edited by Wichs, D; Mansour, Y, STOC (2016), pp. 658-669, ACM, ISBN 978-1-4503-4132-5 [doi]

- 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] - Heath-Brown, DR; Pierce, LB,
*Simultaneous integer values of pairs of quadratic forms*, Journal für die Reine und Angewandte Mathematik (Crelle's Journal), vol. 2017 no. 727 (January, 2017) [doi] - Ellenberg, J; Pierce, LB; Wood, MM,
*On $\ell$-torsion in class groups of number fields*, arXiv:1606.06103 [math] (June, 2016) [abs] - Pierce, LB,
*Burgess bounds for multi-dimensional short mixed character sums*, Journal of Number Theory, vol. 163 (June, 2016), pp. 172-210 [doi] - Guo, S; Pierce, LB; Roos, J; Yung, P,
*Polynomial Carleson operators along monomial curves in the plane*, arXiv:1605.05812 [math] (May, 2016) [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]

- Randles, A; Frakes, DH; Leopold, JA,
*Computational Fluid Dynamics and Additive Manufacturing to Diagnose and Treat Cardiovascular Disease.*, Trends in Biotechnology (September, 2017) [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*, Proceedings of SPIE, vol. 10076 (January, 2017), ISBN 9781510605930 [doi] [abs] - Gounley, J; Chaudhury, R; Vardhan, M; Driscoll, M; Pathangey, G; Winarta, K; Ryan, J; Frakes, D; Randles, A,
*Does the degree of coarctation of the aorta influence wall shear stress focal heterogeneity?*, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, vol. 2016 (August, 2016), pp. 3429-3432, ISBN 9781457702204 [doi] [abs]

- Reed, M; Best, J; Golubitsky, M; Stewart, I; Nijhout, HF,
*Analysis of Homeostatic Mechanisms in Biochemical Networks.*, Bulletin of Mathematical Biology (September, 2017) [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 - Samaranayake, S; Abdalla, A; Robke, R; Nijhout, HF; Reed, MC; Best, J; Hashemi, P,
*A voltammetric and mathematical analysis of histaminergic modulation of serotonin in the mouse hypothalamus.*, Journal of Neurochemistry, vol. 138 no. 3 (August, 2016), pp. 374-383 [doi] [abs] - Lawley, SD; Best, JA; Reed, MC,
*Neurotransmitter concentrations in the presence of neural switching in one dimension*, Discrete and Continuous Dynamical Systems - Series B, vol. 21 no. 7 (August, 2016), pp. 2255-2273 [doi] - Temamogullari, NE; Nijhout, HF; C Reed, M,
*Mathematical modeling of perifusion cell culture experiments on GnRH signaling.*, Mathematical Biosciences, vol. 276 (June, 2016), pp. 121-132 [doi] [abs] - Thanacoody, HKR; Nijhout, FH; Reed, MC; Thomas, SHL,
*Mathematical modelling of the effect of a high dose acetylcysteine regimen based on the SNAP trial on hepatic glutathione regeneration and hepatocyte death*, Clinical Toxicology, vol. 54 no. 4 (2016), pp. 494-494 - Reed, MC; Nijhout, HF; Kurtz, T,
*Mathematical modeling of cell metabolism*, in Encyclopedia of Applied and Computational Mathematics, edited by Engquist, B (2016), Springer

- 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] - Robles, C,
*Classification of horizontal s*, Compositio Mathematica, vol. 152 no. 05 (May, 2016), pp. 918-954 [doi] - Robles, C,
*Characteristic cohomology of the infinitesimal period relation*, Asian Journal of Mathematics, vol. 20 no. 4 (2016), pp. 725-758 [arXiv:1310.8154], [doi]

- Saper, L,
*Perverse sheaves and the reductive Borel-Serre compactification*, in Hodge Theory and L² Analysis (2017) [abs] - Saper, L,
*ℒ-modules and micro-support*, to appear in Annals of Mathematics (2017)

- 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] - 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 (June, 2017) [doi] [abs] - 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] - Pisharady, PK; Sotiropoulos, SN; Sapiro, G; Lenglet, C,
*A sparse bayesian learning algorithm for white matter parameter estimation from compressed multi-shell diffusion MRI*, Lecture notes in computer science, vol. 10433 LNCS (January, 2017), pp. 602-610, ISBN 9783319661810 [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] - Lezama, J; Mukherjee, D; McNabb, RP; Sapiro, G; Kuo, AN; Farsiu, S,
*Segmentation guided registration of wide field-of-view retinal optical coherence tomography volumes.*, Biomedical Optics Express, vol. 7 no. 12 (December, 2016), pp. 4827-4846 [doi] [abs] - Aguerrebere, C; Delbracio, M; Bartesaghi, A; Sapiro, G,
*Fundamental Limits in Multi-Image Alignment*, IEEE Transactions on Signal Processing, vol. 64 no. 21 (November, 2016), pp. 5707-5722 [doi] - Elhamifar, E; Sapiro, G; Sastry, SS,
*Dissimilarity-Based Sparse Subset Selection.*, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38 no. 11 (November, 2016), pp. 2182-2197 [doi] [abs] - Fiori, M; Muse, P; Tepper, M; Sapiro, G,
*Tell me where you are and i tell you where you are going: Estimation of dynamic mobility graphs*, Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, vol. 2016-September (September, 2016), ISBN 9781509021031 [doi] [abs] - Giryes, R; Sapiro, G; Bronstein, AM,
*Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?*, IEEE Transactions on Signal Processing, vol. 64 no. 13 (July, 2016), pp. 3444-3457 [doi] - Tepper, M; Sapiro, G,
*A short-graph fourier transform via personalized pagerank vectors*, IEEE International Conference on Acoustics Speech and Signal Processing, vol. 2016-May (May, 2016), pp. 4806-4810, ISBN 9781479999880 [doi] [abs] - Tepper, M; Sapiro, G,
*Compressed Nonnegative Matrix Factorization Is Fast and Accurate*, IEEE Transactions on Signal Processing, vol. 64 no. 9 (May, 2016), pp. 2269-2283 [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. 1844-1853 [doi] - 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] - Chang, Z; Qiu, Q; Sapiro, G,
*Synthesis-based low-cost gaze analysis*, Communications in Computer and Information Science, vol. 618 (January, 2016), pp. 95-100, ISBN 9783319405414 [doi] [abs] - Lyzinski, V; Fishkind, DE; Fiori, M; Vogelstein, JT; Priebe, CE; Sapiro, G,
*Graph Matching: Relax at Your Own Risk.*, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38 no. 1 (January, 2016), pp. 60-73 [doi] [abs]

- Smith, DA; Fey, JT,
*Algebra as Part of an Integrated High School Curriculum*, in And the Rest is Just Algebra, edited by Stewart, S (October 6, 2016), pp. 119-129, Springer, ISBN 3319450530 [abs]

- Sergey A. Cherkis, Andres Larrain-Hubach, Mark Stern,
*Instantons on multi-Taub-NUT Spaces I: Asymptotic Form and Index Theorem*, arXiv:1608.00018 (August, 2016) [abs]

- Mackall, B; Miller, SJ; Rapti, C; Turnage-Butterbaugh, C; Winsor, K,
*Some Results in the Theory of Low-lying Zeros*, in Families of Automorphic Forms and the Trace Formula (September, 2016), Springer, ISBN 3319414240 [abs] - Bui, HM; Heap, WP; Turnage-Butterbaugh, CL,
*GAPS BETWEEN ZEROS OF DEDEKIND ZETA-FUNCTIONS OF QUADRATIC NUMBER FIELDS. II*, Quarterly Journal of Mathematics, vol. 67 no. 3 (September, 2016), pp. 467-482 [doi] - Barrett, O; Firk, F; Miller, SJ; Turnage-Butterbaugh, C,
*From Quantum Systems to L-Functions: Pair Correlation Statistics and Beyond*, in Open Problems in Mathematics, edited by John Nash Jr., Michael Th. Rassias (August, 2016), pp. 123-171, Springer, ISBN 3319321625 [arXiv:1505.07481] - Best, A; Dynes, P; Edelsbrunner, X; McDonald, B; Miller, SJ; Tor, K; Turnage-Butterbaugh, C; Weinstein, M,
*Gaussian distribution of the number of summands in generalized Zeckendorf decomposition in small intervals*, Integers, vol. 16 (2016), pp. 13 pages

- 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] - Komineas, S; Shipman, SP; Venakides, S,
*Lossless polariton solitons*, Physica D: Nonlinear Phenomena, vol. 316 (February, 2016), pp. 43-56 [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]

- 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] - George, C; Virgin, LN; Witelski, T,
*Experimental study of regular and chaotic transients in a non-smooth system*, International Journal of Non-Linear Mechanics, vol. 81 (2016), pp. 55-64 [doi] - Sanaei, P; Richardson, GW; Witelski, T; Cummings, LJ,
*Flow and fouling in a pleated membrane filter*, Journal of Fluid Mechanics, vol. 795 (2016), pp. 36-59 [doi] - Smolka, LB; McLaughlin, CK; Witelski, TP,
*Oil capture from a water surface by a falling sphere*, Colloids and Surfaces A: Physicochemical and Engineering Aspects, vol. 497 (2016), pp. 126-132, ISSN 0927-7757 [doi]

- Wong, JT; Bertozzi, AL,
*A conservation law model for bidensity suspensions on an incline*, Physica D: Nonlinear Phenomena, vol. 330 (September, 2016), pp. 47-57 [doi]

- 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] - Malik, J; Reed, N; Wang, C-L; Wu, H-T,
*Single-lead f-wave extraction using diffusion geometry*, Physiological Measurement, vol. 38 no. 7 (July, 2017), pp. 1310-1334 [doi] - 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 (Basel, Switzerland), vol. 19 no. 7 (July, 2017), pp. 294-294 [doi] - 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] - 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 (May, 2017) [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] - 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 Biomedical 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, C-H; Wang, T-D; Hsieh, C-H; Huang, S-H; Lin, J-W; Hsu, S-C; Wu, H-T; Wu, Y-M; Liu, T-M,
*Imaging Cytometry of Human Leukocytes with Third Harmonic Generation Microscopy*, Scientific Reports, vol. 6 no. 1 (December, 2016) [doi] - Marchesini, S; Tu, Y-C; Wu, H-T,
*Alternating projection, ptychographic imaging and phase synchronization*, Applied and Computational Harmonic Analysis, vol. 41 no. 3 (November, 2016), pp. 815-851 [doi] - Wu, H-T; 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. 463-472 [doi] [abs] - Lin, Y-T; Flandrin, P; Wu, H-T,
*When Interpolation-Induced Reflection Artifact Meets Time-Frequency Analysis.*, IEEE Transactions on Biomedical Engineering, vol. 63 no. 10 (October, 2016), pp. 2133-2141 [doi] [abs] - O'Neal, WT; Wang, YG; Wu, H-T; Zhang, Z-M; 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. 811-815 [doi] [abs] - Daubechies, I; Wang, YG; Wu, H-T,
*ConceFT: concentration of frequency and time via a multitapered synchrosqueezed transform.*, Philosophical Transactions A, vol. 374 no. 2065 (April, 2016), pp. 20150193 [doi] [abs] - Kowalski, M; Meynard, A; Wu, H-T,
*Convex Optimization approach to signals with fast varying instantaneous frequency*, Applied and Computational Harmonic Analysis (April, 2016) [doi] - El Karoui, N; Wu, H-T,
*Graph connection Laplacian methods can be made robust to noise*, Annals of statistics, vol. 44 no. 1 (February, 2016), pp. 346-372 [doi] - Wu, H-T; Wu, H-K; Wang, C-L; Yang, Y-L; Wu, W-H; Tsai, T-H; Chang, H-H,
*Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform.*, PloS one, vol. 11 no. 6 (January, 2016), pp. e0157135 [doi] [abs]

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*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] - Lu, J; Wirth, B; Yang, H,
*Combining 2D synchrosqueezed wave packet transform with optimization for crystal image analysis*, edited by Bhattacharya, K, Journal of the Mechanics and Physics of Solids, vol. 89 (January, 2015), pp. 194-210, Elsevier, ISSN 0022-5096 [repository], [doi] [abs]

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*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] - Jin, S; Sparber, C; Zhou, Z,
*On the classical limit of a time-dependent self-consistent field system: Analysis and computation*, Kinetic and Related Models, vol. 10 no. 1 (November, 2016), pp. 263-298 [doi] - Chen, J; Liu, J-G; Zhou, Z,
*On a Schrödinger--Landau--Lifshitz System: Variational Structure and Numerical Methods*, Multiscale Modeling & Simulation, vol. 14 no. 4 (January, 2016), pp. 1463-1487 [doi]