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ORCIDChirag Modi 0002
Person information
- affiliation: Flatiron Institute, Center for Computational Astrophysics, New York, NY, USA
- affiliation (PhD 2020): University of California, Berkeley, Center for Cosmological Physics, CA, USA
Other persons with the same name
- Chirag Modi — disambiguation page
- Chirag N. Modi
![[0000-0001-9125-0424]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9125-0424")
(aka: Chirag Modi 0001) — National Institute of Technology (NIT) Goa, Farmagudi, Ponda, India
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Journal Articles
- 2021
[j2]Chirag Modi, François Lanusse, Uros Seljak:
FlowPM: Distributed TensorFlow implementation of the FastPM cosmological N-body solver. Astron. Comput. 37: 100505 (2021)- 2017
- [j1]Yu Feng, Chirag Modi:
A fast algorithm for identifying friends-of-friends halos. Astron. Comput. 20: 44-51 (2017)
Conference and Workshop Papers
- 2024
- [c3]Diana Cai, Chirag Modi, Loucas Pillaud-Vivien, Charles Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul:
Batch and match: black-box variational inference with a score-based divergence. ICML 2024 - [c2]Diana Cai, Chirag Modi, Charles Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul:
EigenVI: score-based variational inference with orthogonal function expansions. NeurIPS 2024 - 2023
- [c1]Chirag Modi, Robert M. Gower, Charles Margossian, Yuling Yao, David M. Blei, Lawrence K. Saul:
Variational Inference with Gaussian Score Matching. NeurIPS 2023
Informal and Other Publications
- 2024
- [i9]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:
LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology. CoRR abs/2402.05137 (2024) - [i8]Diana Cai, Chirag Modi, Loucas Pillaud-Vivien, Charles C. Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul:
Batch and match: black-box variational inference with a score-based divergence. CoRR abs/2402.14758 (2024) - [i7]Chirag Modi, Diana Cai, Lawrence K. Saul:
Batch, match, and patch: low-rank approximations for score-based variational inference. CoRR abs/2410.22292 (2024) - [i6]Diana Cai, Chirag Modi, Charles C. Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul:
EigenVI: score-based variational inference with orthogonal function expansions. CoRR abs/2410.24054 (2024) - 2023
- [i5]Chirag Modi, Charles Margossian, Yuling Yao, Robert M. Gower, David M. Blei, Lawrence K. Saul:
Variational Inference with Gaussian Score Matching. CoRR abs/2307.07849 (2023) - [i4]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:
SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering. CoRR abs/2310.15256 (2023) - 2021
- [i3]Chirag Modi, Alex Barnett, Bob Carpenter:
Delayed rejection Hamiltonian Monte Carlo for sampling multiscale distributions. CoRR abs/2110.00610 (2021) - 2019
- [i2]Chirag Modi, Uros Seljak:
Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics. CoRR abs/1910.07178 (2019) - 2016
- [i1]Yu Feng, Chirag Modi:
A fast algorithm for identifying Friends-of-Friends halos. CoRR abs/1607.03224 (2016)
Coauthor Index
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