PPaperPicks

François Lanusse

7 papers at tracked venues · 7 at CORE A* · active 2024–2025

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Venues

NeurIPS ×6AAAI ×1

Frequent coauthors

Shirley Ho
×5
Liam Holden Parker
×4
Ruben Ohana
×4
Michael McCabe
×4
Miles D. Cranmer
×4
Jeff Shen
×3
Lucas Meyer
×3
Helen Qu
×3
Siavash Golkar
×3
Alberto Bietti
×3
Géraud Krawezik
×3
Kyunghyun Cho
×3

Papers

  1. AION-1: Omnimodal Foundation Model for Astronomical Sciences
    NeurIPS 2025 ·
    Liam Holden Parker
    , François Lanusse,
    Jeff Shen
    ,
    Ollie Liu
    ,
    Tom Hehir
    ,
    Leopoldo Sarra
    ,
    Lucas Meyer
    ,
    Micah Bowles
    ,
    Sebastian Wagner-Carena
    ,
    Helen Qu
    ,
    Siavash Golkar
    ,
    Alberto Bietti
    ,
    Hatim Bourfoune
    ,
    Pierre Cornette
    ,
    Keiya Hirashima
    ,
    Géraud Krawezik
    ,
    Ruben Ohana
    ,
    Nicholas Lourie
    ,
    Michael McCabe
    ,
    Rudy Morel
    ,
    Payel Mukhopadhyay
    ,
    Mariel Pettee
    ,
    Kyunghyun Cho
    ,
    Miles D. Cranmer
    ,
    Shirley Ho
  2. Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation
    NeurIPS 2025 ·
    François Rozet
    ,
    Ruben Ohana
    ,
    Michael McCabe
    ,
    Gilles Louppe
    , François Lanusse,
    Shirley Ho
  3. Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme
    NeurIPS 2025 ·
    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 F. Fouhey
    ,
    Shirley Ho
  4. Learning Diffusion Priors from Observations by Expectation Maximization
    NeurIPS 2024 ·
    François Rozet
    ,
    Gérôme Andry
    , François Lanusse,
    Gilles Louppe
  5. Multiple Physics Pretraining for Spatiotemporal Surrogate Models
    NeurIPS 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
  6. The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
    NeurIPS 2024 ·
    Eirini Angeloudi
    ,
    Jeroen Audenaert
    ,
    Micah Bowles
    ,
    Benjamin M. Boyd
    ,
    David Chemaly
    ,
    Brian Cherinka
    ,
    Ioana Ciuca
    ,
    Miles D. Cranmer
    ,
    Aaron Do
    ,
    Matthew Grayling
    ,
    Erin E. Hayes
    ,
    Tom Hehir
    ,
    Shirley Ho
    ,
    Marc Huertas-Company
    ,
    Kartheik Iyer
    ,
    Maja Jablonska
    , François Lanusse,
    Henry Leung
    ,
    Kaisey Mandel
    ,
    Rafael Martínez-Galarza
    ,
    Peter Melchior
    ,
    Lucas Meyer
    ,
    Liam Holden Parker
    ,
    Helen Qu
    ,
    Jeff Shen
    ,
    Michael J. Smith
    ,
    Connor Stone
    ,
    Mike Walmsley
    ,
    John F. Wu
  7. Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics
    AAAI 2024 ·
    Yesukhei Jagvaral
    , François Lanusse,
    Rachel Mandelbaum