Bruno Régaldo-Saint Blancard

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 11

Top Topics

Signal Recovery

Diffusion Models

Wavelet Based Denoising

Combining Classifiers

Top Venues

Trans. Mach. Learn. Res.

Publications

Bruno Régaldo-Saint Blancard, Michael Eickenberg
Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures. Trans. Mach. Learn. Res. 2024 (2024)
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
Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task. CoRR (2024)
David Heurtel-Depeiges, Charles C. Margossian, Ruben Ohana, Bruno Régaldo-Saint Blancard
Listening to the Noise: Blind Denoising with Gibbs Diffusion. CoRR (2024)
Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke
Simulation-Based Stacking. AISTATS (2024)
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
Multiple Physics Pretraining for Physical Surrogate Models. CoRR (2023)
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
xVal: A Continuous Number Encoding for Large Language Models. CoRR (2023)
David Heurtel-Depeiges, Blakesley Burkhart, Ruben Ohana, Bruno Régaldo-Saint Blancard
Removing Dust from CMB Observations with Diffusion Models. CoRR (2023)
Bruno Régaldo-Saint Blancard, Michael Eickenberg
Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures. CoRR (2023)
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
AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models. CoRR (2023)
Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke
Simulation based stacking. CoRR (2023)
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 (2023)