Bruno Régaldo-Saint Blancard

17 papers A* 3A 1Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning.
CoRR
Jeff Shen, François Lanusse, Liam Holden Parker, Ollie Liu, Tom Hehir, Leopoldo Sarra, Lucas Meyer, Micah Bowles, Sebastian Wagner-Carena, Helen Qu, Siavash Golkar, Alberto Bietti, Hatim Bourfoune, Nathan Cassereau, Pierre Cornette, Keiya Hirashima, Géraud Krawezik, Ruben Ohana, Nicholas Lourie, Michael McCabe, Rudy Morel, Payel Mukhopadhyay, Mariel Pettee, Bruno Régaldo-Saint Blancard, Kyunghyun Cho, Miles D. Cranmer, Shirley Ho
2025 J jnl
Walrus: A Cross-Domain Foundation Model for Continuum Dynamics.
CoRR
Michael McCabe, Payel Mukhopadhyay, Tanya Marwah, Bruno Régaldo-Saint Blancard, François Rozet, Cristiana Diaconu, Lucas Meyer, Kaze W. K. Wong, Hadi Sotoudeh, Alberto Bietti, Irina Espejo, Rio Fear, Siavash Golkar, Tom Hehir, Keiya Hirashima, Géraud Krawezik, François Lanusse, Rudy Morel, Ruben Ohana, Liam Holden Parker, Mariel Pettee, Jeff Shen, Kyunghyun Cho, Miles D. Cranmer, Shirley Ho
2024 J jnl
Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task.
CoRR
Siavash Golkar, Alberto Bietti, Mariel Pettee, Michael Eickenberg, Miles D. Cranmer, Keiya Hirashima, Géraud Krawezik, Nicholas Lourie, Michael McCabe, Rudy Morel, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Kyunghyun Cho, Shirley Ho
2024 J jnl
Listening to the Noise: Blind Denoising with Gibbs Diffusion.
CoRR
David Heurtel-Depeiges, Charles C. Margossian, Ruben Ohana, Bruno Régaldo-Saint Blancard
2024 A* conf
Listening to the noise: Blind Denoising with Gibbs Diffusion.
ICML
David Heurtel-Depeiges, Charles Margossian, Ruben Ohana, Bruno Régaldo-Saint Blancard
2024 A* conf
Multiple Physics Pretraining for Spatiotemporal Surrogate Models.
NeurIPS
Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Holden Parker, Ruben Ohana, Miles D. Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Géraud Krawezik, François Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
2024 A conf
Simulation-Based Stacking.
AISTATS
Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke
2024 J jnl
Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures.
Trans. Mach. Learn. Res.
Bruno Régaldo-Saint Blancard, Michael Eickenberg
2024 A* conf
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning.
NeurIPS
Ruben Ohana, Michael McCabe, Lucas Meyer, Rudy Morel, Fruzsina Julia Agocs, Miguel Beneitez, Marsha Berger, Blakesley Burkhart, Stuart B. Dalziel, Drummond B. Fielding, Daniel Fortunato, Jared A. Goldberg, Keiya Hirashima, Yan-Fei Jiang, Rich R. Kerswell, Suryanarayana Maddu, Jonah Miller, Payel Mukhopadhyay, Stefan S. Nixon, Jeff Shen, Romain Watteaux, Bruno Régaldo-Saint Blancard, François Rozet, Liam Holden Parker, Miles D. Cranmer, Shirley Ho
2024 J jnl
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning.
CoRR
Ruben Ohana, Michael McCabe, Lucas Meyer, Rudy Morel, Fruzsina Julia Agocs, Miguel Beneitez, Marsha Berger, Blakesley Burkhart, Stuart B. Dalziel, Drummond B. Fielding, Daniel Fortunato, Jared A. Goldberg, Keiya Hirashima, Yan-Fei Jiang, Rich R. Kerswell, Suryanarayana Maddu, Jonah Miller, Payel Mukhopadhyay, Stefan S. Nixon, Jeff Shen, Romain Watteaux, Bruno Régaldo-Saint Blancard, François Rozet, Liam Holden Parker, Miles D. Cranmer, Shirley Ho
2023 J jnl
AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models.
CoRR
François Lanusse, Liam Holden Parker, Siavash Golkar, Miles D. Cranmer, Alberto Bietti, Michael Eickenberg, Géraud Krawezik, Michael McCabe, Ruben Ohana, Mariel Pettee, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
2023 J jnl
Multiple Physics Pretraining for Physical Surrogate Models.
CoRR
Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Holden Parker, Ruben Ohana, Miles D. Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Géraud Krawezik, François Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
2023 J jnl
Removing Dust from CMB Observations with Diffusion Models.
CoRR
David Heurtel-Depeiges, Blakesley Burkhart, Ruben Ohana, Bruno Régaldo-Saint Blancard
2023 J jnl
SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering.
CoRR
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
2023 J jnl
Simulation based stacking.
CoRR
Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke
2023 J jnl
Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures.
CoRR
Bruno Régaldo-Saint Blancard, Michael Eickenberg
2023 J jnl
xVal: A Continuous Number Encoding for Large Language Models.
CoRR
Siavash Golkar, Mariel Pettee, Michael Eickenberg, Alberto Bietti, Miles D. Cranmer, Géraud Krawezik, François Lanusse, Michael McCabe, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho