Chirag Modi

According to our database, Chirag Modi authored at least 12 papers between 2017 and 2025.

Collaborative distances:

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

2025

An Exploration of Non-Euclidean Gradient Descent: Muon and its Many Variants.

Michael Crawshaw, Chirag Modi, Mingrui Liu, Robert M. Gower

CoRR, October, 2025

Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo.

Gilad Turok, Chirag Modi, Bob Carpenter

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Batch, match, and patch: low-rank approximations for score-based variational inference.

Chirag Modi, Diana Cai, Lawrence K. Saul

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

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, Viraj Pandya, Shivam Pandey, Lucia A. Perez, Benjamin D. Wandelt, Greg L. Bryan

CoRR, 2024

EigenVI: score-based variational inference with orthogonal function expansions.

Diana Cai, Chirag Modi, Charles Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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 M. Blei, Lawrence K. Saul

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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, Azadeh Moradinezhad Dizgah, Bruno Régaldo-Saint Blancard, David N. Spergel

CoRR, 2023

Variational Inference with Gaussian Score Matching.

Chirag Modi, Robert M. Gower, Charles Margossian, Yuling Yao, David M. Blei, Lawrence K. Saul

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Delayed rejection Hamiltonian Monte Carlo for sampling multiscale distributions.

Chirag Modi, Alex Barnett, Bob Carpenter

CoRR, 2021

FlowPM: Distributed TensorFlow implementation of the FastPM cosmological N-body solver.

Chirag Modi, François Lanusse, Uros Seljak

Astron. Comput., 2021

2019

Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics.

Chirag Modi, Uros Seljak

CoRR, 2019

2017

A fast algorithm for identifying friends-of-friends halos.

Yu Feng, Chirag Modi

Astron. Comput., 2017