Rudy Morel

16 papers A* 3Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Representation Learning for Spatiotemporal Physical Systems.
CoRR
Helen Qu, Rudy Morel, Michael McCabe, Alberto Bietti, François Lanusse, Shirley Ho, Yann LeCun
2026 J jnl
Test-time Generalization for Physics through Neural Operator Splitting.
CoRR
Louis Serrano, Jiequn Han, Edouard Oyallon, Shirley Ho, Rudy Morel
2025 A* conf
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction.
ICML
Rudy Morel, Jiequn Han, Edouard Oyallon
2025 J jnl
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction.
CoRR
Rudy Morel, Jiequn Han, Edouard Oyallon
2025 J jnl
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme.
CoRR
Rudy Morel, Francesco Pio Ramunno, Jeff Shen, Alberto Bietti, Kyunghyun Cho, Miles D. Cranmer, Siavash Golkar, Olexandr Gugnin, Géraud Krawezik, Tanya Marwah, Michael McCabe, Lucas Meyer, Payel Mukhopadhyay, Ruben Ohana, Liam Holden Parker, Helen Qu, François Rozet, K. D. Leka, François Lanusse, David Fouhey, Shirley Ho
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 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 — —
Compact models of multi-scale processes. (Modèles compacts de processus multi-échelles).
Rudy Morel
2023 J jnl
Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders.
CoRR
Ali Siahkoohi, Rudy Morel, Randall Balestriero, Erwan Allys, Grégory Sainton, Taichi Kawamura, Maarten V. de Hoop
2023 J jnl
Scattering Spectra Models for Physics.
CoRR
Sihao Cheng, Rudy Morel, Erwan Allys, Brice Ménard, Stéphane Mallat
2023 A* conf
Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data.
ICML
Ali Siahkoohi, Rudy Morel, Maarten V. de Hoop, Erwan Allys, Grégory Sainton, Taichi Kawamura
2023 J jnl
Unearthing InSights into Mars: unsupervised source separation with limited data.
CoRR
Ali Siahkoohi, Rudy Morel, Maarten V. de Hoop, Erwan Allys, Grégory Sainton, Taichi Kawamura
2022 J jnl
Scale Dependencies and Self-Similarity Through Wavelet Scattering Covariance.
CoRR
Rudy Morel, Gaspar Rochette, Roberto Leonarduzzi, Jean-Philippe Bouchaud, Stéphane Mallat