Anil Damle

According to our database, Anil Damle authored at least 32 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automating Variational Differentiation.

Kangbo Li, Anil Damle

CoRR, 2024

STAT: Shrinking Transformers After Training.

Megan Flynn, Alexander Wang, Dean Edward Alvarez, Christopher De Sa, Anil Damle

CoRR, 2024

How to reveal the rank of a matrix?

Anil Damle, Silke Glas, Alex Townsend, Annan Yu

CoRR, 2024

2023

Structure-Aware Analyses and Algorithms for Interpolative Decompositions.

Robin Armstrong, Alex Buzali, Anil Damle

CoRR, 2023

An unambiguous and robust formulation for Wannier localization.

Kangbo Li, Hsin-Yu Ko, Robert A. DiStasio Jr., Anil Damle

CoRR, 2023

2022

Data-Driven Algorithms for Signal Processing with Trigonometric Rational Functions.

Heather Wilber, Anil Damle, Alex Townsend

SIAM J. Sci. Comput., 2022

Linear Time Kernel Matrix Approximation via Hyperspherical Harmonics.

John Paul Ryan, Anil Damle

CoRR, 2022

Model Preserving Compression for Neural Networks.

Jerry Chee, Megan Flynn, Anil Damle, Christopher De Sa

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Communication-efficient distributed eigenspace estimation with arbitrary node failures.

Vasileios Charisopoulos, Anil Damle

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Fast Kernel Transform.

John Paul Ryan, Sebastian E. Ament, Carla P. Gomes, Anil Damle

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Communication-Efficient Distributed Eigenspace Estimation.

Vasileios Charisopoulos, Austin R. Benson, Anil Damle

SIAM J. Math. Data Sci., 2021

Parallel Skeletonization for Integral Equations in Evolving Multiply-Connected Domains.

John Paul Ryan, Anil Damle

SIAM J. Sci. Comput., 2021

Pruning Neural Networks with Interpolative Decompositions.

Jerry Chee, Megan Renz, Anil Damle, Chris De Sa

CoRR, 2021

Data-driven Algorithms for signal processing with rational functions.

Heather Wilber, Anil Damle, Alex Townsend

CoRR, 2021

2020

Network Interpolation.

Thomas Reeves, Anil Damle, Austin R. Benson

SIAM J. Math. Data Sci., 2020

Uniform Bounds for Invariant Subspace Perturbations.

Anil Damle, Yuekai Sun

SIAM J. Matrix Anal. Appl., 2020

Over-parametrized neural networks as under-determined linear systems.

Austin R. Benson, Anil Damle, Alex Townsend

CoRR, 2020

Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization.

Geoff Pleiss, Martin Jankowiak, David Eriksson, Anil Damle, Jacob R. Gardner

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Entrywise convergence of iterative methods for eigenproblems.

Vasileios Charisopoulos, Austin R. Benson, Anil Damle

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Variational Formulation for Wannier Functions with Entangled Band Structure.

Anil Damle, Antoine Levitt, Lin Lin

Multiscale Model. Simul., 2019

Incrementally Updated Spectral Embeddings.

Vasileios Charisopoulos, Austin R. Benson, Anil Damle

CoRR, 2019

2018

Disentanglement via Entanglement: A Unified Method for Wannier Localization.

Anil Damle, Lin Lin

Multiscale Model. Simul., 2018

2017

A Geometric Approach to Archetypal Analysis and Nonnegative Matrix Factorization.

Anil Damle, Yuekai Sun

Technometrics, 2017

Computing Localized Representations of the Kohn-Sham Subspace Via Randomization and Refinement.

Anil Damle, Lin Lin, Lexing Ying

SIAM J. Sci. Comput., 2017

A Recursive Skeletonization Factorization Based on Strong Admissibility.

Victor Minden, Kenneth L. Ho, Anil Damle, Lexing Ying

Multiscale Model. Simul., 2017

Fast Spatial Gaussian Process Maximum Likelihood Estimation via Skeletonization Factorizations.

Victor Minden, Anil Damle, Kenneth L. Ho, Lexing Ying

Multiscale Model. Simul., 2017

SCDM-k: Localized orbitals for solids via selected columns of the density matrix.

Anil Damle, Lin Lin, Lexing Ying

J. Comput. Phys., 2017

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

Robust and efficient multi-way spectral clustering.

Anil Damle, Victor Minden, Lexing Ying

CoRR, 2016

2014

Pole Expansion for Solving a Type of Parametrized Linear Systems in Electronic Structure Calculations.

Anil Damle, Lin Lin, Lexing Ying

SIAM J. Sci. Comput., 2014

Linear Hamilton Jacobi Bellman Equations in high dimensions.

Matanya B. Horowitz, Anil Damle, Joel W. Burdick

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2011

Simultaneous numerical optimization for data association and parameter estimation.

Anil Damle, Lucy Y. Pao

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011