Anil Damle

Preprints

• Robin Armstrong and Anil Damle "Collect, commit, expand: Efficient CPQR-based column selection for extremely wide matrices," [arXiv]
• Kangbo Li and Anil Damle "Automating Variational Differentiation," [arXiv]
• Megan Flynn, Alexander Wang, Dean Edward Alvarez, Christopher De Sa, and Anil Damle "STAT: Shrinking Transformers After Training," [arXiv]
• 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

• Anil Damle, Silke Glas, Alex Townsend, Annan Yu "Estimating a matrix's singular values with interpolative decompositions," Linear Algebra and Applications, 731 (15), 306-342, 2026 [online | arXiv]
• Robin Armstrong, Alex Buzali, and Anil Damle "Structure-aware Analyses and Algorithms for Interpolative Decompositions," SIAM Journal on Scientific Computing, 47 (3), A1527-A1554, 2025 [online | arXiv]
• Rebeckah K. Fussell, Megan Flynn, Anil Damle, Michael F.J. Fox, and N.G. Holmes "Comparing large language models for supervised analysis of students’ lab notes," Physical Review Physics Education Research, 21, 010128, 2025 [online]
• Kangbo Li, Hsin-Yu Ko, Robert A DiStasio Jr, and Anil Damle "Unambiguous and robust formulation for Wannier localization," Physical Review B, 110 (8), 085127, 2024 [online | arXiv]
• Wenyun Zuo, Anil Damle and Shripad Tuljapurkar "Sensitivity and uncertainty in the Lee-Carter mortality model," International Journal of Forecasting, 41 (2). 781-797, 2025 [online | bioRxiv]
• 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, 2023 [online | arXiv]
• Heather Wilber, Anil Damle, and Alex Townsend "Data-driven Algorithms for signal processing with rational functions," SIAM Journal on Scientific Computing, 44 (3), C185-C209, 2022 [SIAM online | arXiv]
• Vasileios Charisopoulos, Austin R. Benson, and Anil Damle "Communication-efficient distributed eigenspace estimation," SIAM Journal on Mathematics of Data Science, 3 (4), 1067-1092, 2021 [SIAM online | arXiv]
• John Paul Ryan and Anil Damle "Parallel Skeletonization for Integral Equations in Evolving Multiply-Connected Domains," SIAM Journal on Scientific Computing, 43 (3), A2320-A2351, 2021 [SIAM online | arXiv]
• Anil Damle and Yuekai Sun "Uniform bounds for invariant subspace perturbations," SIAM J. Matrix Anal. Appl., 41(3), 1208–1236, 2020 [SIAM online | arXiv | code]
• Thomas Reeves, Anil Damle, and Austin Benson "Network interpolation," SIAM Journal on Mathematics of Data Science, 2(2), 505–528, 2020 [SIAM online | arXiv]
• Anil Damle, Antoine Levitt, and Lin Lin "Variational formulation for Wannier functions with entangled band structure," SIAM Multiscale Modeling and Simulation, 17 (1), 167-191, 2019 [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, 16 (3), 1392-1410, 2018 [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, 8 (1), 181–203, 2019 [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, 15 (2), 768-796, 2017 [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, 39 (6), B1178 - B1198, 2017 [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, 15 (4), 1584-1611, 2017 [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, 334, 1-15, 2017 [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, 14 (1), 42-64, 2016 [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., 11 (4), 1463–1469, 2015 [online | arXiv]
• Anil Damle, Yuekai Sun "A geometric approach to archetypal analysis and non-negative matrix factorization," Technometrics, 59 (3), 361-370, 2017 [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, 36 (6), A2929-A2951, 2014 [online | arXiv]
• Anil Damle, Gregory Beylkin, Terry Haut, Lucas Monzón "Near optimal rational approximations of large data sets," Applied and Computational Harmonic Analysis, 35 (2), 251-263, 2013 [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