François Lanusse

According to our database, François Lanusse authored at least 20 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Diffusion Priors from Observations by Expectation Maximization.

François Rozet, Gérôme Andry, François Lanusse, Gilles Louppe

CoRR, 2024

Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics.

Yesukhei Jagvaral, François Lanusse, Rachel Mandelbaum

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models.

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

CoRR, 2023

Multiple Physics Pretraining for Physical Surrogate Models.

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

CoRR, 2023

xVal: A Continuous Number Encoding for Large Language Models.

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

CoRR, 2023

2022

Hybrid Physical-Neural ODEs for Fast N-body Simulations.

Denise Lanzieri, François Lanusse, Jean-Luc Starck

CoRR, 2022

Probabilistic Mass Mapping with Neural Score Estimation.

Benjamin Remy, François Lanusse, Niall Jeffrey, Jia Liu, Jean-Luc Starck, Ken Osato, Tim Schrabback

CoRR, 2022

2021

Adaptive wavelet distillation from neural networks through interpretations.

Wooseok Ha, Chandan Singh, François Lanusse, Eli Song, Song Dang, Kangmin He, Srigokul Upadhyayula, Bin Yu

CoRR, 2021

Real-Time Likelihood-Free Inference of Roman Binary Microlensing Events with Amortized Neural Posterior Estimation.

Keming Zhang, Joshua S. Bloom, B. Scott Gaudi, François Lanusse, Casey Lam, Jessica Lu

CoRR, 2021

FlowPM: Distributed TensorFlow implementation of the FastPM cosmological N-body solver.

Chirag Modi, François Lanusse, Uros Seljak

Astron. Comput., 2021

Adaptive wavelet distillation from neural networks through interpretations.

Wooseok Ha, Chandan Singh, François Lanusse, Srigokul Upadhyayula, Bin Yu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Denoising Score-Matching for Uncertainty Quantification in Inverse Problems.

Zaccharie Ramzi, Benjamin Remy, François Lanusse, Jean-Luc Starck, Philippe Ciuciu

CoRR, 2020

Automating Inference of Binary Microlensing Events with Neural Density Estimation.

Keming Zhang, Joshua S. Bloom, B. Scott Gaudi, François Lanusse, Casey Lam, Jessica Lu

CoRR, 2020

Bayesian Neural Networks.

Tom Charnock, Laurence Perreault Levasseur, François Lanusse

CoRR, 2020

Transformation Importance with Applications to Cosmology.

Chandan Singh, Wooseok Ha, François Lanusse, Vanessa Böhm, Jia Liu, Bin Yu

CoRR, 2020

2019

Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems.

François Lanusse, Peter Melchior, Fred Moolekamp

CoRR, 2019

Uncertainty Quantification with Generative Models.

Vanessa Böhm, François Lanusse, Uros Seljak

CoRR, 2019

2018

Modelling Data with both Sparsity and a Gaussian Random Field: Application to Dark Matter Mass Mapping in Cosmology.

Konstantinos E. Themelis, François Lanusse, Niall Jeffrey, Austin Peel, Jean-Luc Starck, Filipe B. Abdalla

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Enabling Dark Energy Science with Deep Generative Models of Galaxy Images.

Siamak Ravanbakhsh, François Lanusse, Rachel Mandelbaum, Jeff G. Schneider, Barnabás Póczos

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Sparse reconstruction of the dark matter mass map from weak gravitational lensing. (Reconstruction parcimonieuse de la carte de masse de matière noire par effet de lentille gravitationnelle).

François Lanusse

PhD thesis, 2015