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Mathematics Faculty: Publications since January 2023

List all publications in the database.    :recent first  alphabetical  by author  bibtex listing:

  1. B. R. Donald, A Theory of Error Detection and Recovery: Robot Motion Planning with Uncertainty in the Geometric Models of the Robot and Environment, in Proceedings of the International Workshop on Geometric Reasoning (1986), Oxford University, England
  2. B. R. Donald, The Complexity of Planar Compliant Motion Planning with Uncertainty, in Proc. 4th ACM Symposium on Computational Geometry (1988), pp. 309--318, Urbana. IL
  3. B. R. Donald and P. Xavier, A Provably Good Approximation Algorithm for Optimal-Time Trajectory Planning, in Proc. IEEE International Conference on Robotics and Automation (1989), pp. 958--964, Scottsdale, AZ
  4. J. Jennings and B. R. Donald, Programming Autonomous Agents: A theory of Perceptual Equivalence, in Proceedings of the 1st AAAI Fall Symposium on Sensory Aspects of Robotic Intelligence (1991), Asilomar, CA
  5. B. R. Donald, Robot Motion Planning, IEEE Trans. on Robotics and Automation, vol. 8 no. 2 (1992)
  6. J. Canny and B. R. Donald and G. Ressler, A Rational Rotation Method for Robust Geometric Algorithms, in Proc. ACM Symposium on Computational Geometry (1992), pp. 251--260, Berlin
  7. B. R. Donald and D. Pai, The Motion of Planar Compliantly-Connected Rigid Bodies in Contact, with Applications to Automatic Fastening, International Journal of Robotics Research, vol. 12 no. 4 (1993), pp. 307--338
  8. R. Brown and P. Chew and B. R. Donald, Mobile Robots, Map-making, Shape Metrics, and Localization, in Proceedings of the International Association of Science and Technology for Development (IASTED) International Conference on Robotics and Manufacturing (1993), Oxford, England
  9. J. Jennings and D. Rus and B. R. Donald, Experimental Information Invariants for Cooperating Autonomous Mobile Robots, in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Dynamically Interacting Robots (1993), Chambery, France
  10. B. R. Donald and J. Jennings and D. Rus, Towards a Theory of Information Invariants for Cooperating Autonomous Mobile Robots, in Proceedings of the International Symposium of Robotics Research ISRR (1993), Hidden Valley, PA
  11. B. R. Donald and J. Jennings and D. Rus, Cooperating Autonomous Mobile Robots: Theory and Experiments (1994), MIT, Cambridge, MA (Poster, {\it NSF Design and Manufacturing Grantees Conference}.)
  12. A. Briggs and B. R. Donald, Robust Geometric Algorithms for Sensor Planning, in Proceedings of the International Workshop on the Algorithmic Foundations of Robotics WAFR (1996), Toulouse, France
  13. K.-F. B{\"o}hringer and B. R. Donald, Algorithmic MEMS, in Proceedings of the 3rd International Workshop on the Algorithmic Foundations of Robotics WAFR (1998), Houston, TX
  14. K.-F.~B{\"o}hringer and B.~R.~Donald and N.~C.~MacDonald, {\em Programmable Vector Fields for Distributed Manipulation, with Applications to MEMS Actuator Arrays and Vibratory Parts Feeders}, International Journal of Robotics Research, vol. 18 no. 2 (1999)
  15. K.-F.~B{\"o}hringer and B.~R.~Donald and F.~Lamiraux and L.~Kavraki, Part Orientation with One or Two Stable Equilibria Using Programmable Force Fields, in IEEE International Conference on Robotics and Automation, Workshop on Distributed Manipulation (1999)
  16. K.-F. B{\"o}hringer and B. R. Donald and F. Lamiraux and L. Kavraki, Part Orientation with One or Two Stable Equilibria Using Programmable Vector Fields, in IEEE International Conference on Robotics and Automation, Workshop on Distributed Manipulation (1999), Detroit
  17. K.-F.~B{\"o}hringer and B.~R.~Donald and F.~Lamiraux and L.~Kavraki, A Single Universal Force Field Can Uniquely Pose Any Part Up To Symmetry, in 9th International Symposium of Robotics Research (ISRR) (1999)
  18. B. R. Donald and L. Gariepy and D. Rus, Experiments in Constrained Prehensile Manipulation: Distributed Manipulation with Ropes, in IEEE International Conference on Robotics and Automation, Workshop on Distributed Manipulation (1999), Detroit
  19. J.~Suh and B.~Darling and K.-F.~B{\"o}hringer and B.~R.~Donald and H.~Baltes and G.~Kovacs, CMOS Integrated Organic Ciliary Actuator Array as a General-Purpose Micromanipulation Tool, in IEEE International Conference on Robotics and Automation, Workshop on Distributed Manipulation (1999)
  20. C. J. Langmead and B. R. Donald, Time-frequency Analysis of Protein NMR Data (2000) ({\poster} {\it The 8th Int'l Conf. on Intelligent Sys. for Mol. Biol. ({ISMB-2000})}.)
  21. C. Bailey-Kellogg and A. Widge and J. J. {Kelley III} and M. J. Berardi and J. H. Bushweller and B. R. Donald, The NOESY Jigsaw: Automated Protein Secondary Structure and Main-Chain Assignment from Sparse, Unassigned NMR Data (2000) ({\poster} {\it The 8th Int'l Conf. on Intelligent Sys. for Mol. Biol. ({ISMB-2000})}.)
  22. R. Lilien and M. Sridharan and X. Huang and J. H. Bushweller and B. R. Donald, Computational Screening Studies for Core Binding Factor Beta: Use of Multiple Conformations to Model Receptor Flexibility (2000) ({\poster} {\it The 8th Int'l Conf. on Intelligent Sys. for Mol. Biol. ({ISMB-2000})}.)
  23. C. Bailey-Kellogg and A. Widge and J. J. {Kelley III} and M. J. Berardi and J. H. Bushweller and B. R. Donald, The NOESY Jigsaw: Automated Protein Secondary Structure and Main-Chain Assignment from Sparse, Unassigned NMR Data, in The Fourth Annual International Conference on Research in Computational Molecular Biology ({RECOMB-2000}) (2000), pp. 33--44
  24. C. Bailey-Kellogg and F. Zhao and B. R. Donald, Spatial Aggregation in Scientific Data Mining, in Proceedings of the First SIAM Conference on Computational Science and Engineering (2000), Washington, DC
  25. R. Lilien and A. Anderson and B. Donald, Modeling Protein Flexibility for Structure-Based Active Site Redesign, in Currents in Computational Molecular Biology, The Sixth Annual International Conference on Research in Computational Molecular Biology (RECOMB), edited by L. Florea and others (2002), pp. 122-123, Washington DC
  26. A. Anderson and R. Lilien and V. Popov and B. R. Donald, Ensembles of Active Site Conformations Allow Structure-Based Redesign and Drug Design (2003), New Orleans ({\poster} {\it 225th American Chemical Society National Meeting}.)
  27. Christopher J. Langmead and Bruce R. Donald, {An Improved Nuclear Vector Replacement Algorithm for Nuclear Magnetic Resonance Assignment} no. TR2004-494 (2003), Hanover, NH [pdf]
  28. B. R. Donald and C. Levey and C. McGray and D. Rus and M. Sinclair, Untethered Micro-Actuators for Autonomous Micro-robot Locomotion: Design, Fabrication, Control, and Performance, in Proceedings of the 11th {\it International Symposium of Robotics Research} (2003), Siena, Italy
  29. 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
  30. 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..)
  31. Ronald R Coifman and Mauro Maggioni, Multiresolution Analysis associated to diffusion semigroups: construction and fast algorithms no. YALE/DCS/TR-1289 (2004)
  32. C. Langmead and B. R. Donald, A Framework for Automated NMR Resonance Assignments and 3D Structural Homology Detection (2004), Ventura, CA ({\poster} {\it The Gordon Conference on Computational Methods in Biomolecular NMR}.)
  33. L. Wang and R. Mettu and R. Lilien and A. Yan and B. R. Donald, Exact Solutions for Internuclear Vectors and Dihedral Angles from Two RDCs and Their Application in a Systematic Search Algorithm for Determining Protein Backbone Structure (2004), Ventura, CA ({\poster} {\it The Gordon Conference on Computational Methods in Biomolecular NMR}.)
  34. Ryan H. Lilien and Mohini Sridharan and Bruce R. Donald, {Identification of Novel Small Molecule Inhibitors of Core-Binding Factor Dimerization by Computational Screening against NMR Molecular Ensembles} no. TR2004-492 (2004), Hanover, NH [pdf]
  35. B. R. Donald, Plenary lecture: Algorithmic Challenges in Structural Molecular Biology and Proteomics, in Proceedings of the Sixth International Workshop on the Algorithmic Foundations of Robotics (WAFR) (2004), pp. 1--10, University of Utrecht, Utrecht/Zeist, The Netherlands
  36. C. Langmead and B. R. Donald, High-Throughput 3D homology Detection via NMR Resonance Assignment, in Currents in Computational Molecular Biology, 2004, Eighth Annual International Conference on Research in Computational Molecular Biology (RECOMB), edited by A. Gramada and P. Bourne (2004), pp. 522, San Diego
  37. A. Yan and C. Langmead and B. R. Donald, A Probability-Based Similarity Measure for Saupe Alignment Tensors with Applications to Residual Dipolar Couplings in NMR Structural Biology, in Currents in Computational Molecular Biology, 2004, Eighth Annual International Conference on Research in Computational Molecular Biology (RECOMB), edited by A. Gramada and P. Bourne (2004), pp. 437--438, San Diego
  38. L. Wang and B. R. Donald, Analysis of a Systematic Search-Based Algorithm for Determining Protein Backbone Structure from a Minimal Number of Residual Dipolar Couplings, in Proceedings of the IEEE Computational Systems Bioinformatics Conference (CSB) (2004), pp. 319--330, Stanford, CA
  39. 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)
  40. L. Wang and R. Mettu and B. R. Donald, An Algebraic Geometry Approach to Protein Backbone Structure Determination from NMR Data, in Proceedings of the IEEE Computational Systems Bioinformatics Conference (CSB) (2005), pp. 235--246, Stanford, CA
  41. B. R. Donald and C. Levey and C. McGray and I. Paprotny and D. Rus, A Steerable, Untethered, 250 $\times$ 60 $\mu$m MEMS Mobile Micro-Robot, in Proceedings of the 12th {\it International Symposium of Robotics Research (ISRR)} (2005), San Francisco, CA.
  42. Young, AL; van den Boom, W; Schroeder, RA; Krishnamoorthy, V; Raghunathan, K; Wu, H-T; Dunson, DB, Mutual information: Measuring nonlinear dependence in longitudinal epidemiological data., Plos One, vol. 18 no. 4 (2023), pp. e0284904 [doi]  [abs]
  43. Gao, Y; Liu, J-G; Li, W, Master equations for finite state mean field games with nonlinear activations, Discrete and Continuous Dynamical Systems Series B (2023), American Institute of Mathematical Sciences (AIMS) [doi] [reputed journal]
  44. Gao, Y; Liu, J-G, Stochastic Chemical Reaction Systems in Biology, Siam Review, vol. 65 no. 2 (2023), pp. 593-+ [reputed journal]
  45. Miller, E, Stratifications of real vector spaces from constructible sheaves with conical microsupport, Journal of Applied and Computational Topology, vol. 7 no. 3 (2023), pp. 473-489, SPRINGER [doi]
  46. Miller, E; Geist, N, Global dimension of real-exponent polynomial rings, Algebra & Number Theory, vol. 17 no. 10 (2023), pp. 1779-1788, Mathematical Sciences Publishers (MSP) [doi]
  47. Etzioni, R; Gulati, R; Owens, L; Lange, J; Ryser, MD, Opportunity for interception as a driver of benefit in cancer early detection: implications for multi-cancer early detection testing., Cancer Prevention Research, vol. 16 no. 1 (2023), pp. 6-6
  48. Lynch, T; Basila, D; Schnitt, SJ; Marks, JR; Strand, SH; Hyslop, T; Badve, SS; Watson, MA; Le-Petross, HT; Grimm, L; West, RB; Weiss, A; Rapperport, A; King, L; Factor, RE; Ryser, MD; Partridge, AH; Hwang, E-SS; Thompson, AM; Collyar, DE, From the lab to the clinic: Lessons learned from a translational working group., Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology, vol. 41 no. 16 (2023)
  49. Babu, PRK; Di Martino, JM; Chang, Z; Perochon, S; Carpenter, KLH; Compton, S; Espinosa, S; Dawson, G; Sapiro, G, Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder., Ieee Transactions on Affective Computing, vol. 14 no. 2 (2023), pp. 919-930 [doi]  [abs]
  50. Garrett, BL; Rudin, C, The Right to a Glass Box: Rethinking the Use of Artificial Intelligence in Criminal Justice, Cornell Law Review (2023)
  51. Young, AL; van den Boom, W; Schroeder, RA; Krishnamoorthy, V; Raghunathan, K; Wu, H-T; Dunson, DB, Mutual information: Measuring nonlinear dependence in longitudinal epidemiological data., Plos One, vol. 18 no. 4 (2023), pp. e0284904 [doi]  [abs]
  52. Zhao, H; Zhong, Y, How much can one learn from a single solution of a PDE?, Pure and Applied Functional Analysis, vol. 8 no. 2 (2023), pp. 751-773
  53. Li, X; Sung, AD; Xie, J, DART: Distance Assisted Recursive Testing, Journal of Machine Learning Research, vol. 24 no. 169 (2023)  [abs]
  54. Hou, L; Ji, Z; Wang, J; Xie, J, Editorial: Statistical and computational methods for single-cell sequencing analysis., Frontiers in Genetics, vol. 14 (2023), pp. 1235174 [doi]
  55. B. Li, J. Lu, Quantum variational embedding for ground-state energy problems: sum of squares and cluster selection (2023) [arXiv:2305.18571]
  56. Herzog, DP; Mattingly, JC; Nguyen, HD, Gibbsian dynamics and the generalized Langevin equation, Electronic Journal of Probability, vol. 28 (January, 2023) [doi]  [abs]
  57. Papadogeorgou, G; Bello, C; Ovaskainen, O; Dunson, DB, Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions, Journal of the American Statistical Association, vol. 118 no. 544 (January, 2023), pp. 2250-2261 [doi]  [abs]
  58. Barrientos, AF; Sen, D; Page, GL; Dunson, DB, Bayesian Inferences on Uncertain Ranks and Orderings: Application to Ranking Players and Lineups, Bayesian Analysis, vol. 18 no. 3 (January, 2023), pp. 777-806 [doi]  [abs]
  59. Sachs, M; Sen, D; Lu, J; Dunson, D, Posterior Computation with the Gibbs Zig-Zag Sampler, Bayesian Analysis, vol. 18 no. 3 (January, 2023), pp. 909-927 [doi]  [abs]
  60. Li, D; Nguyen, P; Zhang, Z; Dunson, D, Tree representations of brain structural connectivity via persistent homology., Frontiers in Neuroscience, vol. 17 (January, 2023), pp. 1200373 [doi]  [abs]
  61. Chakraborty, A; Ou, R; Dunson, DB, Bayesian Inference on High-Dimensional Multivariate Binary Responses, Journal of the American Statistical Association (January, 2023) [doi]  [abs]
  62. Koplik, G; Borggren, N; Voisin, S; Angeloro, G; Hineman, J; Johnson, T; Bendich, P, Topological Simplification of Signals for Inference and Approximate Reconstruction, Ieee Aerospace Conference Proceedings, vol. 2023-March (January, 2023), ISBN 9781665490320 [doi]  [abs]
  63. Solomon, E; Wagner, A; Bendich, P, FROM GEOMETRY TO TOPOLOGY: INVERSE THEOREMS FOR DISTRIBUTED PERSISTENCE, Journal of Computational Geometry, vol. 14 no. 2 Special Issue (January, 2023), pp. 172-196 [doi]  [abs]
  64. Fraiman, N; Mukherjee, S; Thoppe, G, The Shadow Knows: Empirical Distributions of Minimum Spanning Acycles and Persistence Diagrams of Random Complexes, Discrete Analysis, vol. 2023 (January, 2023) [doi]  [abs]
  65. Caprio, M; Mukherjee, S, Ergodic theorems for dynamic imprecise probability kinematics, International Journal of Approximate Reasoning, vol. 152 (January, 2023), pp. 325-343 [doi]  [abs]
  66. Fei, F; Costa, A; Dolbow, JE; Settgast, RR; Cusini, M, Phase-Field Simulation of Near-Wellbore Nucleation and Propagation of Hydraulic Fractures in Enhanced Geothermal Systems (EGS), Society of Petroleum Engineers Spe Reservoir Simulation Conference, Rsc 2023 (January, 2023), ISBN 9781613998717 [doi]  [abs]
  67. Gao, Y; Liu, JG; Wu, N, Data-driven efficient solvers for Langevin dynamics on manifold in high dimensions, Applied and Computational Harmonic Analysis, vol. 62 (January, 2023), pp. 261-309 [doi]  [abs] [reputed journal]
  68. Liu, JG; Tang, Y; Zhao, Y, ON THE EQUILIBRIUM OF THE POISSON-NERNST-PLANCK-BIKERMANN MODEL EQUIPPING WITH THE STERIC AND CORRELATION EFFECTS, Communications in Mathematical Sciences, vol. 21 no. 2 (January, 2023), pp. 485-515 [doi]  [abs]
  69. Gao, Y; Liu, JG, Random Walk Approximation for Irreversible Drift-Diffusion Process on Manifold: Ergodicity, Unconditional Stability and Convergence, Communications in Computational Physics, vol. 34 no. 1 (January, 2023), pp. 132-172 [doi]  [abs] [reputed journal]
  70. Huang, X; Durrett, R, Corrigendum to: The contact process on periodic trees (Electronic Communications in Probability), Electronic Communications in Probability, vol. 28 (January, 2023) [doi]  [abs]
  71. Daubechies, I; Devore, R; Dym, N; Faigenbaum-Golovin, S; Kovalsky, SZ; Lin, KC; Park, J; Petrova, G; Sober, B, Neural Network Approximation of Refinable Functions, Ieee Transactions on Information Theory, vol. 69 no. 1 (January, 2023), pp. 482-495 [doi]  [abs]
  72. Pu, W; Sober, B; Daly, N; Zhou, C; Sabetsarvestani, Z; Higgitt, C; Daubechies, I; Rodrigues, MRD, Image Separation With Side Information: A Connected Auto-Encoders Based Approach., Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society, vol. 32 (January, 2023), pp. 2931-2946 [doi]  [abs]
  73. Shan, S; Daubechies, I, Diffusion Maps: Using the Semigroup Property for Parameter Tuning, in Applied and Numerical Harmonic Analysis, vol. Part F6 (January, 2023), pp. 409-424 [doi]  [abs]
  74. Etzioni, R; Gulati, R; Owens, L; Lange, J; Ryser, MD, Abstract IA018: Opportunity for interception as a driver of benefit in cancer early detection: implications for multi-cancer early detection testing, Cancer Prev Res (Phila), vol. 16 no. 1_Supplement (January, 2023), pp. IA018-IA018, American Association for Cancer Research (AACR) [doi]  [abs]
  75. Krishnappa Babu, PR; Di Martino, JM; Chang, Z; Perochon, S; Aiello, R; Carpenter, KLH; Compton, S; Davis, N; Franz, L; Espinosa, S; Flowers, J; Dawson, G; Sapiro, G, Complexity analysis of head movements in autistic toddlers., The Journal of Child Psychology and Psychiatry and Allied Disciplines, vol. 64 no. 1 (January, 2023), pp. 156-166 [doi]  [abs]
  76. Solomon, O; Patriat, R; Braun, H; Palnitkar, TE; Moeller, S; Auerbach, EJ; Ugurbil, K; Sapiro, G; Harel, N, Motion robust magnetic resonance imaging via efficient Fourier aggregation., Medical Image Analysis, vol. 83 (January, 2023), pp. 102638 [doi]  [abs]
  77. Cai, Z; Lu, J; Yang, S, NUMERICAL ANALYSIS FOR INCHWORM MONTE CARLO METHOD: SIGN PROBLEM AND ERROR GROWTH, Mathematics of Computation, vol. 92 no. 341 (January, 2023), pp. 1141-1209, American Mathematical Society (AMS) [doi]  [abs]
  78. Chen, Z; Lu, J; Lu, Y; Zhou, S, A REGULARITY THEORY FOR STATIC SCHRÖDINGER EQUATIONS ON R d IN SPECTRAL BARRON SPACES, Siam Journal on Mathematical Analysis, vol. 55 no. 1 (January, 2023), pp. 557-570 [doi]  [abs]
  79. Chen, Z; Lu, J; Qian, H; Wang, X; Yin, W, HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent, Proceedings of Machine Learning Research, vol. 206 (January, 2023), pp. 10732-10781  [abs]
  80. Lee, H; Lu, J; Tan, Y, Convergence of score-based generative modeling for general data distributions, Proceedings of Machine Learning Research, vol. 201 (January, 2023), pp. 946-985  [abs]
  81. Chen, Z; Li, Y; Lu, J, ON THE GLOBAL CONVERGENCE OF RANDOMIZED COORDINATE GRADIENT DESCENT FOR NONCONVEX OPTIMIZATION*, Siam Journal on Optimization, vol. 33 no. 2 (January, 2023), pp. 713-738 [doi]  [abs]
  82. Sachs, M; Sen, D; Lu, J; Dunson, D, Posterior Computation with the Gibbs Zig-Zag Sampler, Bayesian Analysis, vol. 18 no. 3 (January, 2023), pp. 909-927 [doi]  [abs]
  83. Huang, H; Landsberg, JM; Lu, J, GEOMETRY OF BACKFLOW TRANSFORMATION ANSATZE FOR QUANTUM MANY-BODY FERMIONIC WAVEFUNCTIONS, Communications in Mathematical Sciences, vol. 21 no. 5 (January, 2023), pp. 1447-1453 [doi]  [abs]
  84. Bal, G; Becker, S; Drouot, A; Kammerer, CF; Lu, J; Watson, AB, EDGE STATE DYNAMICS ALONG CURVED INTERFACES, Siam Journal on Mathematical Analysis, vol. 55 no. 5 (January, 2023), pp. 4219-4254 [doi]  [abs]
  85. Zhang, S; Lu, J; Zhao, H, On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network, Proceedings of Machine Learning Research, vol. 202 (January, 2023), pp. 41452-41487  [abs]
  86. Chen, H; Lee, H; Lu, J, Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions, Proceedings of Machine Learning Research, vol. 202 (January, 2023), pp. 5367-5382  [abs]
  87. Agazzi, A; Lu, J; Mukherjee, S, Global optimality of Elman-type RNNs in the mean-field regime, Proceedings of Machine Learning Research, vol. 202 (January, 2023), pp. 196-227  [abs]
  88. Ladd, W; Jensen, C; Vardhan, M; Ames, J; Hammond, JR; Draeger, EW; Randles, A, Optimizing Cloud Computing Resource Usage for Hemodynamic Simulation, Proceedings - 2023 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2023 (January, 2023), pp. 568-578, ISBN 9798350337662 [doi]  [abs]
  89. Chidambaram, M; Wu, C; Cheng, Y; Ge, R, Hiding Data Helps: On the Benefits of Masking for Sparse Coding, Proceedings of Machine Learning Research, vol. 202 (January, 2023), pp. 5600-5615  [abs]
  90. Zhou, M; Ge, R, Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression, Proceedings of Machine Learning Research, vol. 202 (January, 2023), pp. 42543-42573  [abs]
  91. Chidambaram, M; Wang, X; Wu, C; Ge, R, Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup, Proceedings of Machine Learning Research, vol. 202 (January, 2023), pp. 5563-5599  [abs]
  92. Zhao, H; Panigrahi, A; Ge, R; Arora, S, Do Transformers Parse while Predicting the Masked Word?, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings (January, 2023), pp. 16513-16542, ISBN 9798891760608  [abs]
  93. Ou, YJ; Barnett, AJ; Mitra, A; Schwartz, FR; Chen, C; Grimm, L; Lo, JY; Rudin, C, A user interface to communicate interpretable AI decisions to radiologists, Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 12467 (January, 2023), ISBN 9781510660397 [doi]  [abs]
  94. Lanners, Q; Parikh, H; Volfovsky, A; Rudin, C; Page, D, Variable Importance Matching for Causal Inference, Proceedings of Machine Learning Research, vol. 216 (January, 2023), pp. 1174-1184  [abs]
  95. Agnew, E; Qiu, M; Zhu, L; Wiseman, S; Rudin, C, The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation, Proceedings of the Annual Meeting of the Association for Computational Linguistics, vol. 2 (January, 2023), pp. 1627-1638, ISBN 9781959429715  [abs]
  96. Chen, Z; Tan, S; Chajewska, U; Rudin, C; Caruana, R, Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help?, Proceedings of Machine Learning Research, vol. 209 (January, 2023), pp. 86-99  [abs]
  97. Kiselev, A; Nazarov, F; Ryzhik, L; Yao, Y, Chemotaxis and reactions in biology, Journal of the European Mathematical Society, vol. 25 no. 7 (January, 2023), pp. 2641-2696 [doi]  [abs]
  98. Levine, AS, A note on rationally slice knots, New York Journal of Mathematics, vol. 29 (January, 2023), pp. 1363-1372  [abs]
  99. Lee, J; Xie, Y; Cheng, X, Training Neural Networks for Sequential Change-Point Detection, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2023-June (January, 2023), ISBN 9781728163277 [doi]  [abs]
  100. Chen, Z; Wu, HT, Disentangling modes with crossover instantaneous frequencies by synchrosqueezed chirplet transforms, from theory to application, Applied and Computational Harmonic Analysis, vol. 62 (January, 2023), pp. 84-122 [doi]  [abs]
  101. Colominas, MA; Wu, HT, An Iterative Warping and Clustering Algorithm to Estimate Multiple Wave-Shape Functions From a Nonstationary Oscillatory Signal, Ieee Transactions on Signal Processing, vol. 71 (January, 2023), pp. 701-712, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  102. Chen, HY; Wu, HT; Chen, CY, Quality Aware Sleep Stage Classification over RIP Signals with Persistence Diagrams, 2023 IEEE 19th International Conference on Body Sensor Networks, BSN 2023 - Proceedings (January, 2023), ISBN 9798350338416 [doi]  [abs]
  103. Dasgupta, S; Kakde, M, On the Brumer-Stark conjecture, Annals of Mathematics, vol. 197 no. 1 (January, 2023), pp. 289-388, Annals of Mathematics [doi]  [abs]
  104. Tackett, M; Viel, S; Manturuk, K, A validation of the short-form classroom community scale for undergraduate mathematics and statistics students, Journal of University Teaching and Learning Practice, vol. 20 no. 1 (January, 2023), pp. 1-17 [doi]  [abs]
  105. Davis, R; Pries, R; Wickelgren, K, The Galois action on the lower central series of the fundamental group of the Fermat curve, Israel Journal of Mathematics (January, 2023) [doi]  [abs]
  106. Kush, D; Rossman, B, TREE-DEPTH AND THE FORMULA COMPLEXITY OF SUBGRAPH ISOMORPHISM, Siam Journal on Computing, vol. 52 no. 1 (January, 2023), pp. 273-325 [doi]  [abs]
  107. He, W; Rossman, B, Symmetric Formulas for Products of Permutations, Leibniz International Proceedings in Informatics, Lipics, vol. 251 (January, 2023), ISBN 9783959772631 [doi]  [abs]
  108. He, Y; Zhao, H; Zhong, Y, How Much Can One Learn a Partial Differential Equation from Its Solution?, Foundations of Computational Mathematics (January, 2023) [doi]  [abs]
  109. Zhang, S; Lu, J; Zhao, H, On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network, Proceedings of Machine Learning Research, vol. 202 (January, 2023), pp. 41452-41487  [abs]
  110. Dawson, M; Dudley, C; Omoma, S; Tung, H-R; Ciocanel, M-V, Characterizing emerging features in cell dynamics using topological data analysis methods., Mathematical Biosciences and Engineering, vol. 20 no. 2 (January, 2023), pp. 3023-3046, American Institute of Mathematical Sciences (AIMS) [doi]  [abs]
  111. Fintzen, J; Kaletha, T; Spice, L, A TWISTED YU CONSTRUCTION, HARISH-CHANDRA CHARACTERS, AND ENDOSCOPY, Duke Mathematical Journal, vol. 172 no. 12 (January, 2023), pp. 2241-2301 [doi]  [abs]
  112. Fintzen, J, Supercuspidal representations in non-defining characteristics, Journal of Algebra (January, 2023) [doi]  [abs]
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