Robin Armstrong, Alex Buzali, and Anil Damle "Structure-aware Analyses and Algorithms for Interpolative Decompositions," [arXiv]
Wenyun Zuo, Anil Damle and Shripad Tuljapurkar, "Sensitivity and uncertainty in the Lee-Carter mortality model," [bioRxiv]
John Paul Ryan and Anil Damle "Linear Time Kernel Matrix Approximation via Hyperspherical Harmonics," [arXiv]
Austin R. Benson, Anil Damle, and Alex Townsend "Over-parametrized neural networks as under-determined linear systems," [arXiv]
Vasileios Charisopoulos, Austin R. Benson, and Anil Damle "Incrementally updated spectral embeddings," [arXiv]
Journals
Eric G Fuemmeler, Anil Damle, Robert A DiStasio Jr "Selected columns of the density matrix in an atomic orbital basis I: an intrinsic and non-iterative orbital localization scheme for the occupied space," Journal of Chemical Theory and Computation, 19 (23), 8572-8586 [online] [arXiv]
Heather Wilber, Anil Damle, and Alex Townsend “Data-driven Algorithms for signal processing with rational functions,” SIAM Journal on Scientific Computing, 2022, 44 (3), C185-C209 [SIAM online] [arXiv]
Vasileios Charisopoulos, Austin R. Benson, and Anil Damle “Communication-efficient distributed eigenspace estimation,” SIAM Journal on Mathematics of Data Science, 2021, 3 (4), 1067-1092 [SIAM online] [arXiv]
John Paul Ryan and Anil Damle "Parallel Skeletonization for Integral Equations in Evolving Multiply-Connected Domains," SIAM Journal on Scientific Computing, 2021, 43 (3), A2320-A2351 [SIAM online] [arXiv]
Anil Damle and Yuekai Sun "Uniform bounds for invariant subspace perturbations," SIAM J. Matrix Anal. Appl., 2020, 41(3), 1208–1236 [SIAM online] [arXiv] [code]
Thomas Reeves, Anil Damle, and Austin Benson, "Network interpolation," SIAM Journal on Mathematics of Data Science, 2020, 2(2), 505–528 [SIAM online] [arXiv]
Anil Damle, Antoine Levitt, and Lin Lin "Variational formulation for Wannier functions with entangled band structure," SIAM Multiscale Modeling and Simulation, 2019, 17 (1), 167-191 [SIAM online] [arXiv] [optimization code] [SCDM code]
Anil Damle and Lin Lin "Disentanglement via entanglement: A unified method for Wannier localization," SIAM Multiscale Modeling and Simulation, 2018, 16 (3), 1392-1410 [SIAM online] [arXiv] [code]
Anil Damle, Victor Minden, Lexing Ying, "Simple, direct and efficient multi-way spectral clustering," Information and Inference: a Journal of the IMA, 2019, 8 (1), 181–203, [online] [arXiv] [code]
Victor Minden, Kenneth L. Ho, Anil Damle, Lexing Ying, "A recursive skeletonization factorization based on strong admissibility," SIAM Journal of Multiscale Modeling and Simulation, 2017, 15 (2), 768-796 [online] [arXiv]
Anil Damle, Lin Lin, Lexing Ying, "Computing Localized Representations of the Kohn--Sham Subspace Via Randomization and Refinement," SIAM Journal on Scientific Computing, 2017, 39 (6), B1178 - B1198 [online] [arXiv]
Victor Minden, Anil Damle, Kenneth L. Ho, Lexing Ying "Fast spatial Gaussian process maximum likelihood estimation via skeletonization factorizations," SIAM Journal of Multiscale Modeling and Simulation 2017, 15 (4), 1584-1611 [online] [arXiv] [code]
Anil Damle, Lin Lin, Lexing Ying, "SCDM-k: Localized orbitals for solids via selected columns of the density matrix," Journal of Computational Physics Volume 334, 1 April 2017, 1-15 [online][arXiv]
Victor Minden, Anil Damle, Kenneth Ho and Lexing Ying "A technique for updating hierarchical factorizations of integral operators," SIAM Journal of Multiscale Modeling and Simulation, 2016, 14 (1), 42-64 [online] [arXiv]
Anil Damle, Lin Lin, Lexing Ying, "Compressed representation of Kohn–Sham orbitals via selected columns of the density matrix," J. Chem. Theory Comput., 2015, 11 (4), 1463–1469 [online] [arXiv]
Anil Damle, Yuekai Sun, "A geometric approach to archetypal analysis and non-negative matrix factorization," Technometrics, 2017, 59 (3), 361-370 [online] [arXiv]
Anil Damle, Lin Lin, Lexing Ying, "Pole expansion for solving a type of parametrized linear systems in electronic structure calculations," SIAM Journal on Scientific Computing, 2014, 36 (6), A2929-A2951 [online] [arXiv]
Anil Damle, Gregory Beylkin, Terry Haut, Lucas Monzón, "Near optimal rational approximations of large data sets," Applied and Computational Harmonic Analysis, 2013, 35 (2), 251-263 [online]
Conference Proceedings
Jerry Chee, Megan Flynn, Anil Damle, Chris De Sa "Model Preserving Compression for Neural Networks," NeurIPS 2022 [NeurIPS] [arXiv]
Vasileios Charisopoulos and Anil Damle "Communication-efficient distributed eigenspace estimation with arbitrary node failures," NeurIPS 2022 [NeurIPS] [arXiv]
John Paul Ryan, Sebastian Ament, Carla P Gomes, and Anil Damle “The Fast Kernel Transform,” Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11669-11690, 2022 [AISTATS] [arXiv]
Vasileios Charisopoulos, Austin R. Benson, and Anil Damle "Entrywise convergence of iterative methods for eigenproblems," NeurIPS 2020 [NeurIPS] [arXiv]
Geoff Pleiss, Martin Jankowiak, David Eriksson, Anil Damle, Jacob R. Gardner "Fast matrix square roots with applications to Gaussian processes and Bayesian optimization," NeurIPS 2020 [NeurIPS] [arXiv]
Matanya B. Horowitz, Anil Damle, Joel W. Burdick. "Linear Hamilton Jacobi Bellman Equations in High Dimensions," Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on, pp. 5880-5887, 15-17 Dec. 2014 [arXiv]
A. Damle and L. Y. Pao. "Simultaneous Numerical Optimization for Data Association and Parameter Estimation," Proc. Joint IEEE Conf. Decision and Control and European Control Conf., Orlando, FL, pp. 7800-7805, Dec. 2011
Teaching
Cornell University
CS 4/5780: Introduction to Machine Learning — Fall 2022
