Bruno Régaldo-Saint Blancard

Postdoc, Flatiron Institute

Joined

May 2023

Names

Bruno Régaldo-Saint Blancard (Preferred)

Bruno Regaldo-Saint Blancard

Bruno Régaldo

Bruno Regaldo

Emails

****@gmail.com (Confirmed)

****@flatironinstitute.org (Confirmed)

Personal Links

Homepage

Google Scholar

ORCID

Career & Education History

Postdoc

Flatiron Institute (flatironinstitute.org)

2022 – Present

PhD student

Ecole Normale Supérieure de Paris (ens.fr)

2018 – 2021

Advisors, Relations & Conflicts

Postdoc Advisor

Michael Eickenberg

2022 – 2023

PhD Advisor

François Levrier

2018 – 2021

PhD Advisor

François Boulanger

2018 – 2021

Expertise

No areas of expertise listed

Publications

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
Ruben Ohana, Michael McCabe, Lucas Thibaut Meyer, Rudy Morel, Fruzsina Julia Agocs, Miguel Beneitez, Marsha Berger, Blakesley Burkhart, Stuart B. Dalziel, Drummond Buschman Fielding, Daniel Fortunato, Jared A. Goldberg, Keiya Hirashima, Yan-Fei Jiang, Rich Kerswell, Suryanarayana Maddu, Jonah M. Miller, Payel Mukhopadhyay, Stefan S. Nixon, Jeff Shen et al. (5 additional authors not shown)
- D3S3 2024 Poster
- Readers: Everyone
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
Ruben Ohana, Michael McCabe, Lucas Thibaut Meyer, Rudy Morel, Fruzsina Julia Agocs, Miguel Beneitez, Marsha Berger, Blakesley Burkhart, Stuart B. Dalziel, Drummond Buschman Fielding, Daniel Fortunato, Jared A. Goldberg, Keiya Hirashima, Yan-Fei Jiang, Rich Kerswell, Suryanarayana Maddu, Jonah M. Miller, Payel Mukhopadhyay, Stefan S. Nixon, Jeff Shen et al. (6 additional authors not shown)
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
Multiple Physics Pretraining for Spatiotemporal Surrogate Models
Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Holden Parker, Ruben Ohana, Miles Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Geraud Krawezik, Francois Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
- NeurIPS 2024 poster
- Readers: Everyone
Listening to the noise: Blind Denoising with Gibbs Diffusion
David Heurtel-Depeiges, Charles Margossian, Ruben Ohana, Bruno Régaldo-Saint Blancard
- ICML 2024 Poster
- Readers: Everyone
Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures
Bruno Régaldo-Saint Blancard, Michael Eickenberg
- Accepted by TMLR
- Readers: Everyone
AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models
Francois Lanusse, Liam Holden Parker, Siavash Golkar, Alberto Bietti, Miles Cranmer, Michael Eickenberg, Geraud Krawezik, Michael McCabe, Ruben Ohana, Mariel Pettee, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
- NeurIPS2023-AI4Science Poster
- Readers: Everyone
Sensitivity Analysis of Simulation-Based Inference for Galaxy Clustering
Shivam Pandey, Chirag Modi, Benjamin Dan Wandelt, Matthew Ho, ChangHoon Hahn, Bruno Régaldo-Saint Blancard
- NeurIPS2023-AI4Science Poster
- Readers: Everyone
xVal: A Continuous Number Encoding for Large Language Models
Siavash Golkar, Mariel Pettee, Michael Eickenberg, Alberto Bietti, Miles Cranmer, Geraud Krawezik, Francois Lanusse, Michael McCabe, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
- NeurIPS2023-AI4Science Poster
- Readers: Everyone
Multiple Physics Pretraining for Physical Surrogate Models
Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Holden Parker, Ruben Ohana, Miles Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Geraud Krawezik, Francois Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
- NeurIPS2023-AI4Science Oral
- Readers: Everyone
xVal: A Continuous Number Encoding for Large Language Models
Siavash Golkar, Mariel Pettee, Alberto Bietti, Michael Eickenberg, Miles Cranmer, Geraud Krawezik, Francois Lanusse, Michael McCabe, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
- Submitted to ICLR 2024
- Readers: Everyone

View all 11 publications

Co-Authors

View all 40 co-authors