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Mathematics : All Publications (in the database)

List most recent publications in the database.    :chronological  alphabetical  by author  bibtex listing:

  1. Katz, O; Talmon, R; Lo, Y-L; Wu, H-T, Alternating diffusion maps for multimodal data fusion, Information Fusion, vol. 45 (January, 2019), pp. 346-360 [doi]
  2. Wu, H-T; Wu, N, THINK GLOBALLY, FIT LOCALLY UNDER THE MANIFOLD SETUP: ASYMPTOTIC ANALYSIS OF LOCALLY LINEAR EMBEDDING, The Annals of Statistics, vol. 46 no. 6B (December, 2018), pp. 3805-3837, INST MATHEMATICAL STATISTICS [doi]
  3. Cao, Y; Lu, J, Stochastic dynamical low-rank approximation method, Journal of Computational Physics, vol. 372 (November, 2018), pp. 564-586 [doi]  [abs]
  4. Cao, Y; Lu, J, Stochastic dynamical low-rank approximation method, Journal of Computational Physics, vol. 372 (November, 2018), pp. 564-586 [doi]  [abs]
  5. Watson, A; Weinstein, MI, Wavepackets in Inhomogeneous Periodic Media: Propagation Through a One-Dimensional Band Crossing, Communications in Mathematical Physics, vol. 363 no. 2 (October, 2018), pp. 655-698 [doi]  [abs]
  6. Lin, CY; Wu, HT, Embeddings of Riemannian manifolds with finite eigenvector fields of connection Laplacian, Calculus of Variations and Partial Differential Equations, vol. 57 no. 5 (October, 2018) [doi]  [abs]
  7. Li, X; Liu, J; Lu, J; Zhou, X, Moderate deviation for random elliptic PDE with small noise, The Annals of Applied Probability, vol. 28 no. 5 (October, 2018), pp. 2781-2813 [doi]  [abs]
  8. Ma, R; Durrett, R, A simple evolutionary game arising from the study of the role of igf-II in pancreatic cancer, The Annals of Applied Probability, vol. 28 no. 5 (October, 2018), pp. 2896-2921 [doi]  [abs]
  9. Ding, J; Diao, E; Zhou, J; Tarokh, V, A Penalized Method for the Predictive Limit of Learning, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2018-April (September, 2018), pp. 4414-4418, ISBN 9781538646588 [doi]  [abs]
  10. Banerjee, T; Whipps, G; Gurram, P; Tarokh, V, Sequential Event Detection Using Multimodal Data in Nonstationary Environments, 2018 21st International Conference on Information Fusion, Fusion 2018 (September, 2018), pp. 1940-1947 [doi]  [abs]
  11. Li, Q; McDonough, AA; Layton, HE; Layton, AT, Functional implications of sexual dimorphism of transporter patterns along the rat proximal tubule: modeling and analysis., American Journal of Physiology. Renal Physiology, vol. 315 no. 3 (September, 2018), pp. F692-F700 [doi]  [abs]
  12. Arlotto, A; Steele, JM, A Central Limit Theorem for Costs in Bulinskaya’s Inventory Management Problem When Deliveries Face Delays, Methodology and Computing in Applied Probability, vol. 20 no. 3 (September, 2018), pp. 839-854 [doi]  [abs]
  13. Malen, G, Homomorphism complexes and -cores, Discrete Mathematics, vol. 341 no. 9 (September, 2018), pp. 2567-2574 [doi]
  14. Feng, Y; Li, L; Liu, J-G; Xu, X, A note on one-dimensional time fractional ODEs, Applied Mathematics Letters, vol. 83 (September, 2018), pp. 87-94 [doi]
  15. Li, Q; McDonough, AA; Layton, HE; Layton, AT, Functional implications of sexual dimorphism of transporter patterns along the rat proximal tubule: modeling and analysis., American Journal of Physiology. Renal Physiology, vol. 315 no. 3 (September, 2018), pp. F692-F700 [doi]  [abs]
  16. Bertolini, M; Plesser, MR, (0,2) hybrid models, Journal of High Energy Physics, vol. 2018 no. 9 (September, 2018) [doi]  [abs]
  17. Aristotelous, AC; Crawford, JM; Edwards, GS; Kiehart, DP; Venakides, S, Mathematical models of dorsal closure., Progress in Biophysics and Molecular Biology, vol. 137 (September, 2018), pp. 111-131 [doi]  [abs]
  18. Hashemi, J; Dawson, G; Carpenter, KLH; Campbell, K; Qiu, Q; Espinosa, S; Marsan, S; Baker, JP; Egger, HL; Sapiro, G, Computer Vision Analysis for Quantification of Autism Risk Behaviors, Ieee Transactions on Affective Computing (August, 2018) [doi]  [abs]
  19. Banerjee, T; Choi, J; Pesaran, B; Ba, D; Tarokh, V, Classification of Local Field Potentials using Gaussian Sequence Model, 2018 Ieee Statistical Signal Processing Workshop, Ssp 2018 (August, 2018), pp. 218-222 [doi]  [abs]
  20. Malik, J; Lo, YL; Wu, HT, Sleep-wake classification via quantifying heart rate variability by convolutional neural network, Physiological Measurement, vol. 39 no. 8 (August, 2018) [doi]  [abs]
  21. Rengaswamy, N; Calderbank, R; Pfister, HD; Kadhe, S, Synthesis of Logical Clifford Operators via Symplectic Geometry, Ieee International Symposium on Information Theory Proceedings, vol. 2018-June (August, 2018), pp. 791-795 [doi]  [abs]
  22. Hager, C; Pfister, HD, Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications, Ieee International Symposium on Information Theory Proceedings, vol. 2018-June (August, 2018), pp. 1590-1594 [doi]  [abs]
  23. Santi, E; Hager, C; Pfister, HD, Decoding Reed-Muller Codes Using Minimum- Weight Parity Checks, Ieee International Symposium on Information Theory Proceedings, vol. 2018-June (August, 2018), pp. 1296-1300 [doi]  [abs]
  24. Reeves, G; Pfister, HD; Dytso, A, Mutual Information as a Function of Matrix SNR for Linear Gaussian Channels, Ieee International Symposium on Information Theory Proceedings, vol. 2018-June (August, 2018), pp. 1754-1758, ISBN 9781538647806 [doi]  [abs]
  25. Barish, S; Nuss, S; Strunilin, I; Bao, S; Mukherjee, S; Jones, CD; Volkan, PC, Combinations of DIPs and Dprs control organization of olfactory receptor neuron terminals in Drosophila., Plos Genetics, vol. 14 no. 8 (August, 2018), pp. e1007560 [doi]  [abs]
  26. Herschlag, G; Lee, S; Vetter, JS; Randles, A, GPU data access on complex geometries for D3Q19 lattice boltzmann method, Proceedings 2018 Ieee 32nd International Parallel and Distributed Processing Symposium, Ipdps 2018 (August, 2018), pp. 825-834, ISBN 9781538643686 [doi]  [abs]
  27. Srivastava, S; Li, C; Dunson, DB, Scalable Bayes via barycenter in Wasserstein space, Journal of Machine Learning Research, vol. 19 (August, 2018), pp. 1-35  [abs]
  28. Barthel, T; Lu, J, Fundamental Limitations for Measurements in Quantum Many-Body Systems., Physical Review Letters, vol. 121 no. 8 (August, 2018), pp. 080406 [doi]  [abs]
  29. Huang, Y; Lu, J; Ming, P, A Concurrent Global–Local Numerical Method for Multiscale PDEs, Journal of Scientific Computing, vol. 76 no. 2 (August, 2018), pp. 1188-1215 [doi]  [abs]
  30. You, Z; Li, L; Lu, J; Ge, H, Integrated tempering enhanced sampling method as the infinite switching limit of simulated tempering., The Journal of Chemical Physics, vol. 149 no. 8 (August, 2018), pp. 084114 [doi]  [abs]
  31. Li, L; Liu, J-G; Wang, L, Cauchy problems for Keller–Segel type time–space fractional diffusion equation, Journal of Differential Equations, vol. 265 no. 3 (August, 2018), pp. 1044-1096 [doi]  [abs]
  32. Zhang, Z; Jiang, W; Dolbow, JE; Spencer, BW, A modified moment-fitted integration scheme for X-FEM applications with history-dependent material data, Computational Mechanics, vol. 62 no. 2 (August, 2018), pp. 233-252 [doi]  [abs]
  33. Agarwal, PK; Kyle, FOX; Salzman, O, An efficient algorithm for computing high-quality paths amid polygonal obstacles, Acm Transactions on Algorithms, vol. 14 no. 4 (August, 2018) [doi]  [abs]
  34. He, S, Suppression of blow-up in parabolic–parabolic Patlak–Keller–Segel via strictly monotone shear flows, Nonlinearity, vol. 31 no. 8 (August, 2018), pp. 3651-3688 [doi]
  35. Wang, Z; Durrett, R, Extrapolating weak selection in evolutionary games., Journal of Mathematical Biology (July, 2018) [doi]  [abs]
  36. West, A; Best, J; Abdalla, A; Nijhout, F; Reed, M; Hashemi, P, Voltammetric evidence for discrete serotonin circuits, linked to specific reuptake domains, in the mouse medial prefrontal cortex., Neurochemistry International (July, 2018) [doi]  [abs]
  37. Wu, H-T; Wu, J-C; Huang, P-C; Lin, T-Y; Wang, T-Y; Huang, Y-H; Lo, Y-L, Phenotype-Based and Self-Learning Inter-Individual Sleep Apnea Screening With a Level IV-Like Monitoring System, Frontiers in Physiology, vol. 9 (July, 2018) [doi]
  38. Rafat, M; Stone, HA; Auguste, DT; Dabagh, M; Randles, A; Heller, M; Rabinov, JD, Impact of diversity of morphological characteristics and Reynolds number on local hemodynamics in basilar aneurysms, Aiche Journal, vol. 64 no. 7 (July, 2018), pp. 2792-2802 [doi]  [abs]
  39. Autry, EA; Bayliss, A; Volpert, VA, Biological control with nonlocal interactions, Mathematical Biosciences, vol. 301 (July, 2018), pp. 129-146 [doi]
  40. Hager, C; Pfister, HD, Approaching Miscorrection-Free Performance of Product Codes With Anchor Decoding, Ieee Transactions on Communications, vol. 66 no. 7 (July, 2018), pp. 2797-2808 [doi]
  41. Wu, HT; Liu, YW, Analyzing transient-evoked otoacoustic emissions by concentration of frequency and time, The Journal of the Acoustical Society of America, vol. 144 no. 1 (July, 2018), pp. 448-466 [doi]  [abs]
  42. Liu, JG; Tang, M; Wang, L; Zhou, Z, An accurate front capturing scheme for tumor growth models with a free boundary limit, Journal of Computational Physics, vol. 364 (July, 2018), pp. 73-94 [doi]  [abs]
  43. Chen, K; Li, Q; Liu, J-G, Online learning in optical tomography: a stochastic approach, Inverse Problems, vol. 34 no. 7 (July, 2018), pp. 075010-075010 [doi]
  44. Mavromoustaki, A; Wang, L; Wong, J; Bertozzi, AL, Surface tension effects for particle settling and resuspension in viscous thin films, Nonlinearity, vol. 31 no. 7 (July, 2018), pp. 3151-3173 [doi]  [abs]
  45. Agarwal, PK; Kaplan, H; Sharir, M, Union of hypercubes and 3D minkowski sums with random sizes, Leibniz International Proceedings in Informatics, Lipics, vol. 107 (July, 2018), ISBN 9783959770767 [doi]  [abs]
  46. Garagić, D; Peskoe, J; Liu, F; Claffey, MS; Bendich, P; Hineman, J; Borggren, N; Harer, J; Zulch, P; Rhodes, BJ, Upstream fusion of multiple sensing modalities using machine learning and topological analysis: An initial exploration, Ieee Aerospace Conference Proceedings, vol. 2018-March (June, 2018), pp. 1-8, ISBN 9781538620144 [doi]  [abs]
  47. Garagić, D; Peskoe, J; Liu, F; Claffey, MS; Bendich, P; Hineman, J; Borggren, N; Harer, J; Zulch, P; Rhodes, BJ, Upstream fusion of multiple sensing modalities using machine learning and topological analysis: An initial exploration, Ieee Aerospace Conference Proceedings, vol. 2018-March (June, 2018), pp. 1-8, ISBN 9781538620144 [doi]  [abs]
  48. Shterev, ID; Dunson, DB; Chan, C; Sempowski, GD, Bayesian Multi-Plate High-Throughput Screening of Compounds., Scientific Reports, vol. 8 no. 1 (June, 2018), pp. 9551 [doi]  [abs]
  49. Hager, C; Pfister, HD, Nonlinear interference mitigation via deep neural networks, 2018 Optical Fiber Communications Conference and Exposition, Ofc 2018 Proceedings (June, 2018), pp. 1-3, ISBN 9781943580385  [abs]
  50. Layton, AT, Sweet success? SGLT2 inhibitors and diabetes., American Journal of Physiology. Renal Physiology, vol. 314 no. 6 (June, 2018), pp. F1034-F1035 [doi]
  51. Gounley, J; Vardhan, M; Randles, A, A framework for comparing vascular hemodynamics at different points in time, Computer Physics Communications (June, 2018) [doi]
  52. Johndrow, JE; Lum, K; Dunson, DB, Theoretical limits of microclustering for record linkage., Biometrika, vol. 105 no. 2 (June, 2018), pp. 431-446 [doi]  [abs]
  53. Bartesaghi, A; Aguerrebere, C; Falconieri, V; Banerjee, S; Earl, LA; Zhu, X; Grigorieff, N; Milne, JLS; Sapiro, G; Wu, X; Subramaniam, S, Atomic Resolution Cryo-EM Structure of β-Galactosidase., Structure (London, England : 1993), vol. 26 no. 6 (June, 2018), pp. 848-856.e3 [doi]  [abs]
  54. Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Range-max queries on uncertain data, Journal of Computer and System Sciences, vol. 94 (June, 2018), pp. 118-134 [doi]  [abs]
  55. Agarwal, PK; Arge, L; Staals, F, Improved dynamic geodesic nearest neighbor searching in a simple polygon, Leibniz International Proceedings in Informatics, Lipics, vol. 99 (June, 2018), pp. 41-414 [doi]  [abs]
  56. Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Computing shortest paths in the plane with removable obstacles, Leibniz International Proceedings in Informatics, Lipics, vol. 101 (June, 2018), pp. 51-515, ISBN 9783959770682 [doi]  [abs]
  57. Glasner, K; Orizaga, S, Multidimensional equilibria and their stability in copolymer–solvent mixtures, Physica D: Nonlinear Phenomena, vol. 373 (June, 2018), pp. 1-12 [doi]  [abs]
  58. Liu, TC; Wu, HT; Chen, YH; Fang, TY; Wang, PC; Liu, YW, Analysis of click-evoked otoacoustic emissions by concentration of frequency and time: Preliminary results from normal hearing and Ménière's disease ears, Aip Conference Proceedings, vol. 1965 (May, 2018), ISBN 9780735416703 [doi]  [abs]
  59. Agarwal, PK; Fox, K; Munagala, K; Nath, A; Pan, J; Taylor, E, Subtrajectory clustering: Models and algorithms, Proceedings of the Acm Sigact Sigmod Sigart Symposium on Principles of Database Systems (May, 2018), pp. 75-87, ISBN 9781450347068 [doi]  [abs]
  60. Ryser, MD; Min, B-H; Siegmund, KD; Shibata, D, Spatial mutation patterns as markers of early colorectal tumor cell mobility., Proceedings of the National Academy of Sciences of the United States of America, vol. 115 no. 22 (May, 2018), pp. 5774-5779 [doi]  [abs]
  61. Miller, JW; Dunson, DB, Robust Bayesian inference via coarsening, Journal of the American Statistical Association (May, 2018), pp. 1-31 [doi]
  62. Wu, H-T; Soliman, EZ, A new approach for analysis of heart rate variability and QT variability in long-term ECG recording., Biomedical Engineering Online, vol. 17 no. 1 (May, 2018), pp. 54 [doi]  [abs]
  63. Zhang, Z; Descoteaux, M; Zhang, J; Girard, G; Chamberland, M; Dunson, D; Srivastava, A; Zhu, H, Mapping population-based structural connectomes., Neuroimage, vol. 172 (May, 2018), pp. 130-145 [doi]  [abs]
  64. Greene, JE; Lewallen, S; Vafaee, F, (1, 1) L-space knots, Compositio Mathematica, vol. 154 no. 5 (May, 2018), pp. 918-933, CAMBRIDGE UNIV PRESS [doi]  [abs]
  65. Frasch, MG; Lobmaier, SM; Stampalija, T; Desplats, P; Pallarés, ME; Pastor, V; Brocco, MA; Wu, H-T; Schulkin, J; Herry, CL; Seely, AJE; Metz, GAS; Louzoun, Y; Antonelli, MC, Non-invasive biomarkers of fetal brain development reflecting prenatal stress: An integrative multi-scale multi-species perspective on data collection and analysis, Neuroscience and Biobehavioral Reviews (May, 2018) [doi]
  66. Zhang, J-T; Cheng, M-Y; Wu, H-T; Zhou, B, A new test for functional one-way ANOVA with applications to ischemic heart screening, Computational Statistics & Data Analysis (May, 2018) [doi]
  67. Johnson, T; Junge, M, Stochastic orders and the frog model, Annales De L'Institut Henri Poincaré, Probabilités Et Statistiques, vol. 54 no. 2 (May, 2018), pp. 1013-1030 [doi]
  68. Ding, J; Shahrampour, S; Heal, K; Tarokh, V, Analysis of Multistate Autoregressive Models, Ieee Transactions on Signal Processing, vol. 66 no. 9 (May, 2018), pp. 2429-2440 [doi]
  69. Magnusson, S; Enyioha, C; Li, N; Fischione, C; Tarokh, V, Convergence of Limited Communication Gradient Methods, Ieee Transactions on Automatic Control, vol. 63 no. 5 (May, 2018), pp. 1356-1371 [doi]
  70. Agarwal, PK; Fox, K; Nath, A; Sidiropoulos, A; Wang, Y, Computing the Gromov-Hausdorff Distance for Metric Trees, Acm Transactions on Algorithms, vol. 14 no. 2 (April, 2018), pp. 1-20 [doi]
  71. Chiou, J-G; Ramirez, SA; Elston, TC; Witelski, TP; Schaeffer, DG; Lew, DJ, Principles that govern competition or co-existence in Rho-GTPase driven polarization., Plos Computational Biology, vol. 14 no. 4 (April, 2018), pp. e1006095 [doi]  [abs]
  72. Leete, J; Gurley, S; Layton, AT, Modeling sex differences in the renin angiotensin system and the efficacy of antihypertensive therapies, Computers & Chemical Engineering, vol. 112 (April, 2018), pp. 253-264 [doi]  [abs]
  73. Layton, AT; Edwards, A; Vallon, V, Renal potassium handling in rats with subtotal nephrectomy: modeling and analysis., American Journal of Physiology. Renal Physiology, vol. 314 no. 4 (April, 2018), pp. F643-F657 [doi]  [abs]
  74. Layton, AT; Vallon, V, Cardiovascular benefits of SGLT2 inhibition in diabetes and chronic kidney diseases., Acta Physiologica, vol. 222 no. 4 (April, 2018), pp. e13050 [doi]
  75. Wei, N; Layton, AT, Theoretical assessment of the Ca2+ oscillations in the afferent arteriole smooth muscle cell of the rat kidney, International Journal of Biomathematics, vol. 11 no. 03 (April, 2018), pp. 1850043-1850043 [doi]
  76. Do, T; Kiselev, A; Ryzhik, L; Tan, C, Global Regularity for the Fractional Euler Alignment System, Archive for Rational Mechanics and Analysis, vol. 228 no. 1 (April, 2018), pp. 1-37 [doi]
  77. van den Boom, W; Schroeder, RA; Manning, MW; Setji, TL; Fiestan, G-O; Dunson, DB, Effect of A1C and Glucose on Postoperative Mortality in Noncardiac and Cardiac Surgeries., Diabetes Care, vol. 41 no. 4 (April, 2018), pp. 782-788 [doi]  [abs]
  78. Giryes, R; Eldar, YC; Bronstein, AM; Sapiro, G, Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems, Ieee Transactions on Signal Processing, vol. 66 no. 7 (April, 2018), pp. 1676-1690 [doi]  [abs]
  79. Gao, T; Yapuncich, GS; Daubechies, I; Mukherjee, S; Boyer, DM, Development and Assessment of Fully Automated and Globally Transitive Geometric Morphometric Methods, With Application to a Biological Comparative Dataset With High Interspecific Variation., Anatomical Record (Hoboken, N.J. : 2007), vol. 301 no. 4 (April, 2018), pp. 636-658 [doi]  [abs]
  80. Gao, Y; Liu, J-G; Lu, XY; Xu, X, Maximal monotone operator theory and its applications to thin film equation in epitaxial growth on vicinal surface, Calculus of Variations and Partial Differential Equations, vol. 57 no. 2 (April, 2018) [doi]
  81. Liu, J-G; Xu, X, Partial regularity of weak solutions to a PDE system with cubic nonlinearity, Journal of Differential Equations, vol. 264 no. 8 (April, 2018), pp. 5489-5526 [doi]  [abs]
  82. Li, L; Liu, J-G, p -Euler equations and p -Navier–Stokes equations, Journal of Differential Equations, vol. 264 no. 7 (April, 2018), pp. 4707-4748 [doi]  [abs]
  83. Bakhtin, Y; Hurth, T; Lawley, SD; Mattingly, JC, Smooth invariant densities for random switching on the torus, Nonlinearity, vol. 31 no. 4 (April, 2018), pp. 1331-1350 [doi]  [abs]
  84. Soloveychik, I; Xiang, Y; Tarokh, V, Pseudo-Wigner Matrices, Ieee Transactions on Information Theory, vol. 64 no. 4 (April, 2018), pp. 3170-3178 [doi]
  85. Soloveychik, I; Xiang, Y; Tarokh, V, Symmetric Pseudo-Random Matrices, Ieee Transactions on Information Theory, vol. 64 no. 4 (April, 2018), pp. 3179-3196 [doi]
  86. Shen, C; Frasch, MG; Wu, HT; Herry, CL; Cao, M; Desrochers, A; Fecteau, G; Burns, P, Non-invasive acquisition of fetal ECG from the maternal xyphoid process: a feasibility study in pregnant sheep and a call for open data sets., Physiological Measurement, vol. 39 no. 3 (March, 2018), pp. 035005 [doi]  [abs]
  87. Duncan, W; Best, J; Golubitsky, M; Nijhout, HF; Reed, M, Homeostasis despite instability., Mathematical Biosciences, vol. 300 (March, 2018), pp. 130-137 [doi]  [abs]
  88. Dasgupta, S; Voight, J, Sylvester’s problem and mock Heegner points, Proceedings of the American Mathematical Society, vol. 146 no. 8 (March, 2018), pp. 3257-3273 [doi]
  89. Thompson, A; Calderbank, R, Sparse near-equiangular tight frames with applications in full duplex wireless communication, 2017 Ieee Global Conference on Signal and Information Processing, Globalsip 2017 Proceedings, vol. 2018-January (March, 2018), pp. 868-872, ISBN 9781509059904 [doi]  [abs]
  90. Ding, J; Zhou, J; Tarokh, V, Optimal prediction of data with unknown abrupt change points, 2017 Ieee Global Conference on Signal and Information Processing, Globalsip 2017 Proceedings, vol. 2018-January (March, 2018), pp. 928-932, ISBN 9781509059904 [doi]  [abs]
  91. DIng, J; Xiang, Y; Shen, L; Tarokh, V, Detecting structural changes in dependent data, 2017 Ieee Global Conference on Signal and Information Processing, Globalsip 2017 Proceedings, vol. 2018-January (March, 2018), pp. 750-754, ISBN 9781509059904 [doi]  [abs]
  92. Han, Q; Ding, J; Airoldi, E; Tarokh, V, Modeling nonlinearity in multi-dimensional dependent data, 2017 Ieee Global Conference on Signal and Information Processing, Globalsip 2017 Proceedings, vol. 2018-January (March, 2018), pp. 206-210, ISBN 9781509059904 [doi]  [abs]
  93. Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J, Geometric Cross-Modal Comparison of Heterogeneous Sensor Data, Proceedings of the 39th IEEE Aerospace Conference (March, 2018)  [abs]
  94. Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J, Geometric Cross-Modal Comparison of Heterogeneous Sensor Data, Proceedings of the 39th IEEE Aerospace Conference (March, 2018)  [abs]
  95. Campbell, K; Carpenter, KL; Hashemi, J; Espinosa, S; Marsan, S; Borg, JS; Chang, Z; Qiu, Q; Vermeer, S; Adler, E; Tepper, M; Egger, HL; Baker, JP; Sapiro, G; Dawson, G, Computer vision analysis captures atypical attention in toddlers with autism., Autism (March, 2018), pp. 1362361318766247 [doi]  [abs]
  96. Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J, Geometric Cross-Modal Comparison of Heterogeneous Sensor Data, Proceedings of the 39th IEEE Aerospace Conference (March, 2018)  [abs]
  97. Ekholm, T; Ng, L; Shende, V, A complete knot invariant from contact homology, Inventiones Mathematicae, vol. 211 no. 3 (March, 2018), pp. 1149-1200 [doi]  [abs]
  98. Barnard, E; Meehan, E; Reading, N; Viel, S, Universal Geometric Coefficients for the Four-Punctured Sphere, Annals of Combinatorics, vol. 22 no. 1 (March, 2018), pp. 1-44 [doi]
  99. Kiselev, A; Tan, C, Finite time blow up in the hyperbolic Boussinesq system, Advances in Mathematics, vol. 325 (February, 2018), pp. 34-55 [doi]  [abs]
  100. Bray, H; Roesch, H, Proof of a Null Geometry Penrose Conjecture, Notices of the American Mathematical Society., vol. 65 (February, 2018), American Mathematical Society
  101. Vu, M-AT; Adalı, T; Ba, D; Buzsáki, G; Carlson, D; Heller, K; Liston, C; Rudin, C; Sohal, VS; Widge, AS; Mayberg, HS; Sapiro, G; Dzirasa, K, A Shared Vision for Machine Learning in Neuroscience., The Journal of Neuroscience : the Official Journal of the Society for Neuroscience, vol. 38 no. 7 (February, 2018), pp. 1601-1607 [doi]  [abs]
  102. Pisharady, PK; Sotiropoulos, SN; Duarte-Carvajalino, JM; Sapiro, G; Lenglet, C, Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning., Neuroimage, vol. 167 (February, 2018), pp. 488-503 [doi]  [abs]
  103. Lu, J; Zhou, Z, Accelerated sampling by infinite swapping of path integral molecular dynamics with surface hopping., The Journal of Chemical Physics, vol. 148 no. 6 (February, 2018), pp. 064110 [doi]  [abs]
  104. Vu, M-AT; Adalı, T; Ba, D; Buzsáki, G; Carlson, D; Heller, K; Liston, C; Rudin, C; Sohal, VS; Widge, AS; Mayberg, HS; Sapiro, G; Dzirasa, K, A Shared Vision for Machine Learning in Neuroscience., The Journal of Neuroscience : the Official Journal of the Society for Neuroscience, vol. 38 no. 7 (February, 2018), pp. 1601-1607 [doi]  [abs]
  105. Ji, H; Witelski, TP, Instability and dynamics of volatile thin films, Physical Review Fluids, vol. 3 no. 2 (February, 2018) [doi]  [abs]
  106. Soloveychik, I; Xiang, Y; Tarokh, V, Explicit symmetric pseudo-random matrices, Ieee International Symposium on Information Theory Proceedings, vol. 2018-January (January, 2018), pp. 424-428, ISBN 9781509030972 [doi]  [abs]
  107. Sarkar, A; Chabout, J; Macopson, JJ; Jarvis, ED; Dunson, DB, Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax, Journal of the American Statistical Association (January, 2018), pp. 1-13 [doi]  [abs]
  108. Qiu, Q; Hashemi, J; Sapiro, G, Intelligent synthesis driven model calibration: framework and face recognition application, Proceedings 2017 Ieee International Conference on Computer Vision Workshops, Iccvw 2017, vol. 2018-January (January, 2018), pp. 2564-2572, ISBN 9781538610343 [doi]  [abs]
  109. Sokolić, J; Qiu, Q; Rodrigues, MRD; Sapiro, G, Learning to identify while failing to discriminate, Proceedings 2017 Ieee International Conference on Computer Vision Workshops, Iccvw 2017, vol. 2018-January (January, 2018), pp. 2537-2544, ISBN 9781538610343 [doi]  [abs]
  110. Shahrampour, S; Tarokh, V, Nonlinear sequential accepts and rejects for identification of top arms in stochastic bandits, 55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017, vol. 2018-January (January, 2018), pp. 228-235 [doi]  [abs]
  111. Soloveychik, I; Tarokh, V; Paulson, JA, On the spectral norms of pseudo-wigner and related matrices, 55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017, vol. 2018-January (January, 2018), pp. 61-66 [doi]  [abs]
  112. van der Hoorn, P, Average nearest neighbor degrees in scale-free networks, Internet Mathematics (January, 2018) [doi]
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  1391. O Bobrowski and S Mukherjee, The Topology of Probability Distributions on Manifolds, arxiv (July, 2013) [1307.1123v2]  [abs]
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  1393. N. Addington, The Brauer group is not a derived invariant, in Proceedings of "Brauer groups and obstruction problems: moduli spaces and arithmetic" (June 27, 2013) [arXiv:1306.6538]
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