Modi, Chirag

9 publications

AISTATS 2025 Batch, Match, and Patch: Low-Rank Approximations for Score-Based Variational Inference Chirag Modi, Diana Cai, Lawrence K. Saul

AISTATS 2025 Sampling from Multiscale Densities with Delayed Rejection Generalized Hamiltonian Monte Carlo Gilad Turok, Chirag Modi, Bob Carpenter

ICML 2024 Batch and Match: Black-Box Variational Inference with a Score-Based Divergence Diana Cai, Chirag Modi, Loucas Pillaud-Vivien, Charles Margossian, Robert M. Gower, David Blei, Lawrence K. Saul

NeurIPS 2024 EigenVI: Score-Based Variational Inference with Orthogonal Function Expansions Diana Cai, Chirag Modi, Charles C. Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul

ICMLW 2024 EigenVI: Score-Based Variational Inference with Orthogonal Function Expansions Diana Cai, Chirag Modi, Charles Margossian, Robert M. Gower, David Blei, Lawrence K. Saul

ICMLW 2024 Teaching Dark Matter Simulations to Speak the Halo Language Shivam Pandey, Francois Lanusse, Chirag Modi, Benjamin Dan Wandelt

NeurIPSW 2023 CHARM: Creating Halos with Auto-Regressive Multi-Stage Networks Shivam Pandey, Chirag Modi, Benjamin Dan Wandelt, Guilhem Lavaux

NeurIPSW 2023 Sensitivity Analysis of Simulation-Based Inference for Galaxy Clustering Shivam Pandey, Chirag Modi, Benjamin Dan Wandelt, Matthew Ho, ChangHoon Hahn, Bruno Régaldo-Saint Blancard

NeurIPS 2023 Variational Inference with Gaussian Score Matching Chirag Modi, Robert Gower, Charles Margossian, Yuling Yao, David M. Blei, Lawrence K. Saul