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2020 – today
- 2024
[j1]Bruno Régaldo-Saint Blancard, Michael Eickenberg:
Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures. Trans. Mach. Learn. Res. 2024 (2024)- [c2]Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke:
Simulation-Based Stacking. AISTATS 2024: 4267-4275 - [c1]David Heurtel-Depeiges, Charles Margossian, Ruben Ohana, Bruno Régaldo-Saint Blancard:
Listening to the noise: Blind Denoising with Gibbs Diffusion. ICML 2024 - [i9]David Heurtel-Depeiges, Charles C. Margossian, Ruben Ohana, Bruno Régaldo-Saint Blancard:
Listening to the Noise: Blind Denoising with Gibbs Diffusion. CoRR abs/2402.19455 (2024) - [i8]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 abs/2406.02585 (2024) - 2023
- [i7]Bruno Régaldo-Saint Blancard, Michael Eickenberg:
Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures. CoRR abs/2306.15012 (2023) - [i6]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 abs/2310.02989 (2023) - [i5]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 abs/2310.02994 (2023) - [i4]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 abs/2310.03024 (2023) - [i3]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) - [i2]David Heurtel-Depeiges, Blakesley Burkhart, Ruben Ohana, Bruno Régaldo-Saint Blancard:
Removing Dust from CMB Observations with Diffusion Models. CoRR abs/2310.16285 (2023) - [i1]Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke:
Simulation based stacking. CoRR abs/2310.17009 (2023)
Coauthor Index
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