Robust Subspace Approximation in a Stream. - Roie Levin; Anish Prasad Sevekari; David P. Woodruff (NeurIPS, 2018)

Universal Approximation Using Well-Conditioned Normalizing Flows. - Holden Lee; Chirag Pabbaraju; Anish Prasad Sevekari; Andrej Risteski (NeurIPS, 2021)

Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows. - Holden Lee; Chirag Pabbaraju; Anish Prasad Sevekari; Andrej Risteski (CoRR, 2021)

Pitfalls of Gaussians as a noise distribution in NCE. - Holden Lee; Chirag Pabbaraju; Anish Prasad Sevekari; Andrej Risteski (ICLR, 2023)

Progressive Ensemble Distillation: Building Ensembles for Efficient Inference. - Don Kurian Dennis; Abhishek Shetty; Anish Prasad Sevekari; Kazuhito Koishida; Virginia Smith (NeurIPS, 2023)

Provable benefits of score matching. - Chirag Pabbaraju; Dhruv Rohatgi; Anish Prasad Sevekari; Holden Lee; Ankur Moitra; Andrej Risteski (NeurIPS, 2023)