A fast algorithm for identifying friends-of-friends halos. - Yu Feng 009; Chirag Modi 002 (Astron. Comput., 2017)

Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics. - Chirag Modi 002; Uros Seljak (CoRR, 2019)

FlowPM: Distributed TensorFlow implementation of the FastPM cosmological N-body solver. - Chirag Modi 002; François Lanusse; Uros Seljak (Astron. Comput., 2021)

Delayed rejection Hamiltonian Monte Carlo for sampling multiscale distributions. - Chirag Modi 002; Alex Barnett; Bob Carpenter (CoRR, 2021)

Variational Inference with Gaussian Score Matching. - Chirag Modi 002; Robert M. Gower; Charles Margossian; Yuling Yao; David M. Blei; Lawrence K. Saul (NeurIPS, 2023)

SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering. - Pablo Lemos; Liam Holden Parker; ChangHoon Hahn; Shirley Ho; Michael Eickenberg; Jiamin Hou; Elena Massara; Chirag Modi 002; Azadeh Moradinezhad Dizgah; Bruno Régaldo-Saint Blancard; David N. Spergel (CoRR, 2023)

Batch and match: black-box variational inference with a score-based divergence. - Diana Cai; Chirag Modi 002; Loucas Pillaud-Vivien; Charles Margossian; Robert M. Gower; David M. Blei; Lawrence K. Saul (ICML, 2024)

EigenVI: score-based variational inference with orthogonal function expansions. - Diana Cai; Chirag Modi 002; Charles Margossian; Robert M. Gower; David M. Blei; Lawrence K. Saul (NeurIPS, 2024)

LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology. - Matthew Ho; Deaglan J. Bartlett; Nicolas Chartier; Carolina Cuesta-Lázaro; Simon Ding; Axel Lapel; Pablo Lemos; Christopher C. Lovell; T. Lucas Makinen; Chirag Modi 002; Viraj Pandya; Shivam Pandey; et al. (CoRR, 2024)

Batch, match, and patch: low-rank approximations for score-based variational inference. - Chirag Modi 002; Diana Cai; Lawrence K. Saul (AISTATS, 2025)

Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo. - Gilad Turok; Chirag Modi 002; Bob Carpenter (AISTATS, 2025)