François Lanusse

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Expectation Maximization

Bayesian Analysis

Generative Model

Unified Framework

Top Venues

Astron. Comput.

Publications

François Rozet, Gérôme Andry, François Lanusse, Gilles Louppe
Learning Diffusion Priors from Observations by Expectation Maximization. CoRR (2024)
Yesukhei Jagvaral, François Lanusse, Rachel Mandelbaum
Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics. AAAI (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)
Yesukhei Jagvaral, François Lanusse, Rachel Mandelbaum
Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics. 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)
Denise Lanzieri, François Lanusse, Jean-Luc Starck
Hybrid Physical-Neural ODEs for Fast N-body Simulations. CoRR (2022)
Chirag Modi, François Lanusse, Uros Seljak
FlowPM: Distributed TensorFlow implementation of the FastPM cosmological N-body solver. Astron. Comput. 37 (2021)
Tom Charnock, Laurence Perreault Levasseur, François Lanusse
Bayesian Neural Networks. CoRR (2020)
Vanessa Böhm, François Lanusse, Uros Seljak
Uncertainty Quantification with Generative Models. CoRR (2019)