U-PC: Unsupervised Planogram Compliance. - Archan Ray; Nishant Kumar; Avishek Shaw; Dipti Prasad Mukherjee (ECCV (10), 2018)

Sublinear Time Eigenvalue Approximation via Random Sampling. - Rajarshi Bhattacharjee; Cameron Musco; Archan Ray (CoRR, 2021)

Sublinear Time Approximation of Text Similarity Matrices. - Archan Ray; Nicholas Monath; Andrew McCallum; Cameron Musco (AAAI, 2022)

Universal Matrix Sparsifiers and Fast Deterministic Algorithms for Linear Algebra. - Rajarshi Bhattacharjee; Gregory Dexter; Cameron Musco; Archan Ray; Sushant Sachdeva; David P. Woodruff (ITCS, 2024)

Sublinear Time Eigenvalue Approximation via Random Sampling. - Rajarshi Bhattacharjee; Gregory Dexter; Petros Drineas; Cameron Musco; Archan Ray (Algorithmica, 2024)

Improved Spectral Density Estimation via Explicit and Implicit Deflation. - Rajarshi Bhattacharjee; Rajesh Jayaram; Cameron Musco; Christopher Musco; Archan Ray (SODA, 2025)

Provably faster randomized and quantum algorithms for k-means clustering via uniform sampling. - Tyler Chen; Archan Ray; Akshay Seshadri; Dylan Herman; Bao Bach; Pranav Deshpande; Abhishek Som; Niraj Kumar 005; Marco Pistoia (CoRR, 2025)

GPU-Parallelizable Randomized Sketch-and-Precondition for Linear Regression using Sparse Sign Sketches. - Tyler Chen; Pradeep Niroula; Archan Ray; Pragna Subrahmanya; Marco Pistoia; Niraj Kumar 005 (CoRR, 2025)

A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values. - Tyler Chen; Akshay Seshadri; Mattia J. Villani; Pradeep Niroula; Shouvanik Chakrabarti; Archan Ray; Pranav Deshpande; Romina Yalovetzky; Marco Pistoia; Niraj Kumar 005 (CoRR, 2025)

MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning. - Javier Lopez-Piqueres; Pranav Deshpande; Archan Ray; Mattia J. Villani; Marco Pistoia; Niraj Kumar 005 (CoRR, 2025)

A simple analysis of a quantum-inspired algorithm for solving low-rank linear systems. - Tyler Chen; Junhyung Lyle Kim; Archan Ray; Shouvanik Chakrabarti; Dylan Herman; Niraj Kumar 005 (CoRR, 2025)