Lanusse, Francois

14 publications

NeurIPS 2025 AION-1: Omnimodal Foundation Model for Astronomical Sciences Liam Holden Parker, Francois Lanusse, Jeff Shen, Ollie Liu, Tom Hehir, Leopoldo Sarra, Lucas Thibaut Meyer, Micah Bowles, Sebastian Wagner-Carena, Helen Qu, Siavash Golkar, Alberto Bietti, Hatim Bourfoune, Pierre Cornette, Keiya Hirashima, Geraud Krawezik, Ruben Ohana, Nicholas Lourie, Michael McCabe, Rudy Morel, Payel Mukhopadhyay, Mariel Pettee, Kyunghyun Cho, Miles Cranmer, Shirley Ho

NeurIPS 2025 Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation François Rozet, Ruben Ohana, Michael McCabe, Gilles Louppe, Francois Lanusse, Shirley Ho

NeurIPS 2025 Predicting Partially Observable Dynamical Systems via Diffusion Models with a Multiscale Inference Scheme Rudy Morel, Francesco Pio Ramunno, Jeff Shen, Alberto Bietti, Kyunghyun Cho, Miles Cranmer, Siavash Golkar, Olexandr Gugnin, Geraud Krawezik, Tanya Marwah, Michael McCabe, Lucas Thibaut Meyer, Payel Mukhopadhyay, Ruben Ohana, Liam Holden Parker, Helen Qu, François Rozet, K.D. Leka, Francois Lanusse, David Fouhey, Shirley Ho

NeurIPS 2024 Learning Diffusion Priors from Observations by Expectation Maximization François Rozet, Gérôme Andry, François Lanusse, Gilles Louppe

NeurIPS 2024 Multiple Physics Pretraining for Spatiotemporal Surrogate Models Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Parker, Ruben Ohana, Miles Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Geraud Krawezik, Francois Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho

ICMLW 2024 Teaching Dark Matter Simulations to Speak the Halo Language Shivam Pandey, Francois Lanusse, Chirag Modi, Benjamin Dan Wandelt

NeurIPS 2024 The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data Eirini Angeloudi, Jeroen Audenaert, Micah Bowles, Benjamin M. Boyd, David Chemaly, Brian Cherinka, Ioana Ciucă, Miles Cranmer, Aaron Do, Matthew Grayling, Erin E. Hayes, Tom Hehir, Shirley Ho, Marc Huertas-Company, Kartheik G. Iyer, Maja Jablonska, Francois Lanusse, Henry W. Leung, Kaisey Mandel, Juan Rafael Martínez-Galarza, Peter Melchior, Lucas Meyer, Liam H. Parker, Helen Qu, Jeff Shen, Michael J. Smith, Connor Stone, Mike Walmsley, John F. Wu

AAAI 2024 Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics Yesukhei Jagvaral, François Lanusse, Rachel Mandelbaum

NeurIPSW 2023 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

NeurIPSW 2023 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

NeurIPSW 2023 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

NeurIPS 2021 Adaptive Wavelet Distillation from Neural Networks Through Interpretations Wooseok Ha, Chandan Singh, Francois Lanusse, Srigokul Upadhyayula, Bin Yu

NeurIPSW 2020 Denoising Score-Matching for Uncertainty Quantification in Inverse Problems Zaccharie Ramzi, Benjamin Remy, Francois Lanusse, Jean-Luc Starck, Philippe Ciuciu

AAAI 2017 Enabling Dark Energy Science with Deep Generative Models of Galaxy Images Siamak Ravanbakhsh, François Lanusse, Rachel Mandelbaum, Jeff G. Schneider, Barnabás Póczos