Simultaneous numerical optimization for data association and parameter estimation. - Anil Damle; Lucy Y. Pao (CDC/ECC, 2011)

Linear Hamilton Jacobi Bellman Equations in high dimensions. - Matanya B. Horowitz; Anil Damle; Joel W. Burdick (CDC, 2014)

Pole Expansion for Solving a Type of Parametrized Linear Systems in Electronic Structure Calculations. - Anil Damle; Lin Lin 001; Lexing Ying (SIAM J. Sci. Comput., 2014)

Robust and efficient multi-way spectral clustering. - Anil Damle; Victor Minden; Lexing Ying (CoRR, 2016)

A Technique for Updating Hierarchical Skeletonization-Based Factorizations of Integral Operators. - Victor Minden; Anil Damle; Kenneth L. Ho; Lexing Ying (Multiscale Model. Simul., 2016)

SCDM-k: Localized orbitals for solids via selected columns of the density matrix. - Anil Damle; Lin Lin 001; Lexing Ying (J. Comput. Phys., 2017)

Fast Spatial Gaussian Process Maximum Likelihood Estimation via Skeletonization Factorizations. - Victor Minden; Anil Damle; Kenneth L. Ho; Lexing Ying (Multiscale Model. Simul., 2017)

A Recursive Skeletonization Factorization Based on Strong Admissibility. - Victor Minden; Kenneth L. Ho; Anil Damle; Lexing Ying (Multiscale Model. Simul., 2017)

Computing Localized Representations of the Kohn-Sham Subspace Via Randomization and Refinement. - Anil Damle; Lin Lin 001; Lexing Ying (SIAM J. Sci. Comput., 2017)

A Geometric Approach to Archetypal Analysis and Nonnegative Matrix Factorization. - Anil Damle; Yuekai Sun (Technometrics, 2017)

Disentanglement via Entanglement: A Unified Method for Wannier Localization. - Anil Damle; Lin Lin 001 (Multiscale Model. Simul., 2018)

Incrementally Updated Spectral Embeddings. - Vasileios Charisopoulos; Austin R. Benson; Anil Damle (CoRR, 2019)

Variational Formulation for Wannier Functions with Entangled Band Structure. - Anil Damle; Antoine Levitt; Lin Lin 001 (Multiscale Model. Simul., 2019)

Entrywise convergence of iterative methods for eigenproblems. - Vasileios Charisopoulos; Austin R. Benson; Anil Damle (NeurIPS, 2020)

Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization. - Geoff Pleiss; Martin Jankowiak; David Eriksson; Anil Damle; Jacob R. Gardner (NeurIPS, 2020)

Over-parametrized neural networks as under-determined linear systems. - Austin R. Benson; Anil Damle; Alex Townsend (CoRR, 2020)

Uniform Bounds for Invariant Subspace Perturbations. - Anil Damle; Yuekai Sun (SIAM J. Matrix Anal. Appl., 2020)

Network Interpolation. - Thomas Reeves; Anil Damle; Austin R. Benson (SIAM J. Math. Data Sci., 2020)

Data-driven Algorithms for signal processing with rational functions. - Heather Wilber; Anil Damle; Alex Townsend (CoRR, 2021)

Pruning Neural Networks with Interpolative Decompositions. - Jerry Chee; Megan Renz 002; Anil Damle; Chris De Sa (CoRR, 2021)

Parallel Skeletonization for Integral Equations in Evolving Multiply-Connected Domains. - John Paul Ryan; Anil Damle (SIAM J. Sci. Comput., 2021)

Communication-Efficient Distributed Eigenspace Estimation. - Vasileios Charisopoulos; Austin R. Benson; Anil Damle (SIAM J. Math. Data Sci., 2021)

The Fast Kernel Transform. - John Paul Ryan; Sebastian E. Ament; Carla P. Gomes; Anil Damle (AISTATS, 2022)

Communication-efficient distributed eigenspace estimation with arbitrary node failures. - Vasileios Charisopoulos; Anil Damle (NeurIPS, 2022)

Model Preserving Compression for Neural Networks. - Jerry Chee; Megan Flynn; Anil Damle; Christopher De Sa (NeurIPS, 2022)

Linear Time Kernel Matrix Approximation via Hyperspherical Harmonics. - John Paul Ryan; Anil Damle (CoRR, 2022)

Data-Driven Algorithms for Signal Processing with Trigonometric Rational Functions. - Heather Wilber; Anil Damle; Alex Townsend (SIAM J. Sci. Comput., 2022)

An unambiguous and robust formulation for Wannier localization. - Kangbo Li; Hsin-Yu Ko; Robert A. DiStasio Jr.; Anil Damle (CoRR, 2023)

Structure-Aware Analyses and Algorithms for Interpolative Decompositions. - Robin Armstrong; Alex Buzali; Anil Damle (CoRR, 2023)

How to reveal the rank of a matrix? - Anil Damle; Silke Glas; Alex Townsend; Annan Yu (CoRR, 2024)

STAT: Shrinking Transformers After Training. - Megan Flynn; Alexander Wang; Dean Edward Alvarez; Christopher De Sa; Anil Damle (CoRR, 2024)

Automating Variational Differentiation. - Kangbo Li; Anil Damle (CoRR, 2024)