Louppe, Gilles

29 publications

TMLR 2025 A Neural Material Point Method for Particle-Based Emulation Omer Rochman-Sharabi, Sacha Lewin, Gilles Louppe

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

ICMLW 2024 A Neural Material Point Method for Particle-Based Simulations Omer Rochman Sharabi, Sacha Lewin, Gilles Louppe

NeurIPSW 2024 Cost Estimation in Unit Commitment Problems Using Simulation-Based Inference Matthias Pirlet, Adrien Bolland, Gilles Louppe, Damien Ernst

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

ICCVW 2023 Adaptive Self-Training for Object Detection Renaud Vandeghen, Gilles Louppe, Marc Van Droogenbroeck

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

ICLRW 2023 Graph-Informed Simulation-Based Inference for Models of Active Matter Namid Stillman, Silke Henkes, Roberto Mayor, Gilles Louppe

TMLR 2023 Policy Gradient Algorithms Implicitly Optimize by Continuation Adrien Bolland, Gilles Louppe, Damien Ernst

ICMLW 2023 Policy Gradient Algorithms Implicitly Optimize by Continuation Adrien Bolland, Gilles Louppe, Damien Ernst

TMLR 2023 Robust Hybrid Learning with Expert Augmentation Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Joern-Henrik Jacobsen

NeurIPS 2023 Score-Based Data Assimilation François Rozet, Gilles Louppe

TMLR 2022 A Crisis in Simulation-Based Inference? Beware, Your Posterior Approximations Can Be Unfaithful Joeri Hermans, Arnaud Delaunoy, François Rozet, Antoine Wehenkel, Volodimir Begy, Gilles Louppe

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

AISTATS 2021 Graphical Normalizing Flows Antoine Wehenkel, Gilles Louppe

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

ICMLW 2021 Diffusion Priors in Variational Autoencoders Antoine Wehenkel, Gilles Louppe

NeurIPS 2021 From Global to Local MDI Variable Importances for Random Forests and When They Are Shapley Values Antonio Sutera, Gilles Louppe, Van Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts

NeurIPS 2021 HNPE: Leveraging Global Parameters for Neural Posterior Estimation Pedro Rodrigues, Thomas Moreau, Gilles Louppe, Alexandre Gramfort

NeurIPS 2021 Truncated Marginal Neural Ratio Estimation Benjamin K Miller, Alex Cole, Patrick Forré, Gilles Louppe, Christoph Weniger

ICML 2020 Likelihood-Free MCMC with Amortized Approximate Ratio Estimators Joeri Hermans, Volodimir Begy, Gilles Louppe

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

NeurIPS 2019 Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model Atilim Gunes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Saeid Naderiparizi, Andreas Munk, Jialin Liu, Bradley Gram-Hansen, Gilles Louppe, Lawrence Meadows, Philip Torr, Victor Lee, Kyle Cranmer, Mr. Prabhat, Frank Wood

NeurIPS 2019 Unconstrained Monotonic Neural Networks Antoine Wehenkel, Gilles Louppe

AISTATS 2018 Random Subspace with Trees for Feature Selection Under Memory Constraints Antonio Sutera, Célia Châtel, Gilles Louppe, Louis Wehenkel, Pierre Geurts

NeurIPS 2017 Learning to Pivot with Adversarial Networks Gilles Louppe, Michael Kagan, Kyle Cranmer

UAI 2016 Context-Dependent Feature Analysis with Random Forests Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts

NeurIPS 2013 Understanding Variable Importances in Forests of Randomized Trees Gilles Louppe, Louis Wehenkel, Antonio Sutera, Pierre Geurts

ECML-PKDD 2012 Ensembles on Random Patches Gilles Louppe, Pierre Geurts