publications

This page is updated periodically and may not always reflect the most recent publications. Group members are in italic. Last update: March 2 2026.

Legend: pre-print conference workshop journal miscellaneous

2026

Predict-Project-Renoise: Sampling Diffusion Models under Hard Constraints :page_facing_up:
Omer Rochman and Gilles Louppe.
pre-print

2025

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

Appa: Bending weather dynamics with latent diffusion models for global data assimilation :page_facing_up:
Gérôme Andry, François Rozet, Sacha Lewin, Omer Rochman, Victor Mangeleer, Matthias Pirlet, Elise Faulx, Marilaure Grégoire, Gilles Louppe.
ML4PS workshop, NeurIPS 2025

Enforcing governing equation constraints in neural PDE solvers via training-free projections :page_facing_up:
Omer Rochman and Gilles Louppe.
ML4PS workshop, NeurIPS 2025

Training-Free Data Assimilation with GenCast :page_facing_up:
Thomas Savary, François Rozet, and Gilles Louppe.
CCAI workshop, NeurIPS 2025

Panchromatic characterization of the Y0 brown dwarf WISEP J173835.52+273258.9 using JWST/MIRI :page_facing_up:
Malavika Vasist, Paul Mollière, Helena Kühnle, Olivier Absil, Gilles Louppe, Rens Waters, Manuel Güdel, Thomas Henning, David Barrado, Leen Decin, John Pye, Pascal Tremblin.
pre-print

A Neural Material Point Method for Particle-based Simulations :page_facing_up: :computer:
Omer Rochman Sharabi, Sacha Lewin, and Gilles Louppe.
TMLR

2024

Low-Budget Simulation-Based Inference with Bayesian Neural Networks :page_facing_up:
Arnaud Delaunoy, Maxence de la Brassinne Bonardeaux, Siddharth Mishra-Sharma, and Gilles Louppe.
pre-print

Learning Diffusion Priors from Observations by Expectation Maximization :page_facing_up:
François Rozet, Gérome Andry, François Lanusse, and Gilles Louppe.
NeurIPS 2024

Grasping under Uncertainties: Sequential Neural Ratio Estimation for 6-DoF Robotic Grasping :page_facing_up:
Norman Marlier, Olivier Bruls, and Gilles Louppe.
IEEE Robotics and Automation Letters

2023

Score-based Data Assimilation :page_facing_up: :computer:
François Rozet and Gilles Louppe.
NeurIPS 2023

Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability :page_facing_up:
Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis.
NeurIPS 2023

Robust Ocean Subgrid-Scale Parameterizations Using Fourier Neural Operators :page_facing_up:
Victor Mangeleer and Gilles Louppe.
ML4PS workshop, NeurIPS 2023

Score-based Data Assimilation for a Two-Layer Quasi-Geostrophic Model :page_facing_up: :computer:
François Rozet and Gilles Louppe.
ML4PS workshop, NeurIPS 2023

Trick or treat? Evaluating stability strategies in graph network-based simulators :page_facing_up:
Omer Rochman and Gilles Louppe.
ML4PS workshop, NeurIPS 2023

Dynamic NeRFs for Soccer Scenes :page_facing_up:
Sacha Lewin, Maxime Vandegar, Thomas Hoyoux, Olivier Barnich, Gilles Louppe.
6th International Workshop on Multimedia Content Analysis in Sports

Balancing Simulation-based Inference for Conservative Posteriors :page_facing_up:
Arnaud Delaunoy, Benjamin Kurt Miller, Patrick Forré, Christoph Weniger, Gilles Louppe.
AABI 2023

Neural posterior estimation for exoplanetary atmospheric retrieval :page_facing_up:
Malavika Vasist, François Rozet, Olivier Absil, Paul Mollière, Evert Nasedkin, Gilles Louppe.
Astronomy & Astrophysics

Implicit representation priors meet Riemannian geometry for Bayesian robotic grasping :page_facing_up:
Norman Marlier, Julien Gustin, Olivier Brüls, Gilles Louppe.
Geometric Representations workshop, ICRA 2023

Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks :page_facing_up:
Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, and Damien Ernst.
Neurocomputing

2022

Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation :page_facing_up:
Arnaud Delaunoy, Joeri Hermans, François Rozet, Antoine Wehenkel, Gilles Louppe.
NeurIPS 2022

A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful :page_facing_up:
Joeri Hermans, Arnaud Delaunoy, François Rozet, Antoine Wehenkel, and Gilles Louppe.
TMLR

A deep learning approach for focal-plane wavefront sensing using vortex phase diversity :page_facing_up:
Maxime Quesnel, Gilles Orban de Xivry, Gilles Louppe, Olivier Absil.
Astronomy & Astrophysics

Simulation-based Bayesian inference for robotic grasping :page_facing_up:
Norman Marlier, Olivier Bruls, Gilles Louppe.
PRDL workshop, IROS 2022

A simulator-based autoencoder for focal plane wavefront sensing :page_facing_up:
Maxime Quesnel, Gilles Orban de Xivry, Olivier Absil, Gilles Louppe.
SPIE Astronomical Telescopes + Instrumentation

Robust Hybrid Learning With Expert Augmentation :page_facing_up:
Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen.
TMLR

2021

Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference :page_facing_up:
François Rozet and Gilles Louppe.
ML4PS workshop, NeurIPS 2021

SAE: Sequential Anchored Ensembles :page_facing_up:
Arnaud Delaunoy and Gilles Louppe.
Bayesian Deep Learning workshop, NeurIPS 2021>

Towards constraining warm dark matter with stellar streams through neural simulation-based inference :page_facing_up:
Joeri Hermans, Nilanjan Banik, Christophe Weniger, Gianfranco Bertone, and Gilles Louppe.
Monthly Notices of the Royal Astronomical Society

Simulation-based Bayesian inference for multi-fingered robotic grasping :page_facing_up:
Norman Marlier, Olivier Bruls, Gilles Louppe.
pre-print

Focal Plane Wavefront Sensing using Machine Learning: Performance of Convolutional Neural Networks compared to Fundamental Limits :page_facing_up:
Gilles Orban de Xivry, Maxime Quesnel, Pierre-Olivier Vanberg, Olivier Absil, and Gilles Louppe.
Monthly Notices of the Royal Astronomical Society

Diffusion Priors In Variational Autoencoders :page_facing_up:
Antoine Wehenkel and Gilles Louppe.
INNF workshop, ICML 2021

Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference :page_facing_up:
Maxime Vandegar, Michael Kagan, Antoine Wehenkel, and Gilles Louppe.
AISTATS 2021

Graphical Normalizing Flows :page_facing_up:
Antoine Wehenkel and Gilles Louppe
AISTATS 2021

2020

Lightning-Fast Gravitational Wave Parameter Inference through Neural Amortization :page_facing_up:
Arnaud Delaunoy et al.
ML4PS workshop, NeurIPS 2020

Likelihood-free MCMC with Amortized Approximate Ratio Estimators :page_facing_up:
Joeri Hermans, Volodimir Begy, and Gilles Louppe.
ICML 2020

You Say Normalizing Flows I see Bayesian Networks :page_facing_up:
Antoine Wehenkel and Gilles Louppe
INNF workshop, ICML 2020

2019

Unconstrained Monotonic Neural Networks :page_facing_up:
Antoine Wehenkel and Gilles Louppe
NeurIPS 2019

Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning :page_facing_up:
Johann Brehmer, Siddharth Mishra-Sharma, Joeri Hermans, Gilles Louppe, and Kyle Cranmer
The Astrophysical Journal

Adversarial Variational Optimization of Non-Differentiable Simulators :page_facing_up: :computer:
Gilles Louppe, Joeri Hermans, and Kyle Cranmer
AISTATS 2019

2018

Recurrent machines for likelihood-free inference :page_facing_up:
Arthur Pesah, Antoine Wehenkel, and Gilles Louppe.
2nd workshop on meta-learning, NeurIPS 2018

Gradient Energy Matching for Distributed Asynchronous Gradient Descent :page_facing_up:
Joeri Hermans, Gilles Louppe
pre-print