Antoine Wehenkel

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Topics

Empirical Bayes

Hybrid Learning

Handwritten Numeral Recognition

Top Venues

Trans. Mach. Learn. Res.

Publications

Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Marco Cuturi, Jörn-Henrik Jacobsen
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration. CoRR (2024)
Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen
Robust Hybrid Learning With Expert Augmentation. Trans. Mach. Learn. Res. 2023 (2023)
Antoine Wehenkel, Jens Behrmann, Andrew C. Miller, Guillermo Sapiro, Ozan Sener, Marco Cuturi, Jörn-Henrik Jacobsen
Simulation-based Inference for Cardiovascular Models. CoRR (2023)
Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst
Distributional reinforcement learning with unconstrained monotonic neural networks. Neurocomputing 534 (2023)
Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability. NeurIPS (2023)
Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability. CoRR (2023)
Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen
Robust Hybrid Learning With Expert Augmentation. CoRR (2022)
Joeri Hermans, Arnaud Delaunoy, François Rozet, Antoine Wehenkel, Volodimir Begy, Gilles Louppe
A Crisis In Simulation-Based Inference? Beware, Your Posterior Approximations Can Be Unfaithful. Trans. Mach. Learn. Res. 2022 (2022)
Arnaud Delaunoy, Joeri Hermans, François Rozet, Antoine Wehenkel, Gilles Louppe
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation. NeurIPS (2022)
Arnaud Delaunoy, Joeri Hermans, François Rozet, Antoine Wehenkel, Gilles Louppe
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation. CoRR (2022)
Jonathan Dumas, Antoine Wehenkel, Damien Lanaspeze, Bertrand Cornélusse, Antonio Sutera
Deep generative modeling for probabilistic forecasting in power systems. CoRR (2021)
Antoine Wehenkel, Gilles Louppe
Diffusion Priors In Variational Autoencoders. CoRR (2021)
Maxime Vandegar, Michael Kagan, Antoine Wehenkel, Gilles Louppe
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference. AISTATS (2021)
Antoine Wehenkel, Gilles Louppe
Graphical Normalizing Flows. AISTATS (2021)
Joeri Hermans, Arnaud Delaunoy, François Rozet, Antoine Wehenkel, Gilles Louppe
Averting A Crisis In Simulation-Based Inference. CoRR (2021)
Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst
Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks. CoRR (2021)
Jonathan Dumas, Colin Cointe, Antoine Wehenkel, Antonio Sutera, Xavier Fettweis, Bertrand Cornélusse
A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market. CoRR (2021)
Antoine Wehenkel, Gilles Louppe
Graphical Normalizing Flows. CoRR (2020)
Antoine Wehenkel, Gilles Louppe
You say Normalizing Flows I see Bayesian Networks. CoRR (2020)
Maxime Vandegar, Michael Kagan, Antoine Wehenkel, Gilles Louppe
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference. CoRR (2020)
Antoine Wehenkel, Arpan Mukhopadhyay, Jean-Yves Le Boudec, Mario Paolone
Parameter Estimation of Three-Phase Untransposed Short Transmission Lines From Synchrophasor Measurements. IEEE Trans. Instrum. Meas. 69 (9) (2020)
Arnaud Delaunoy, Antoine Wehenkel, Tanja Hinderer, Samaya Nissanke, Christoph Weniger, Andrew R. Williamson, Gilles Louppe
Lightning-Fast Gravitational Wave Parameter Inference through Neural Amortization. CoRR (2020)
Antoine Wehenkel, Gilles Louppe
Unconstrained Monotonic Neural Networks. NeurIPS (2019)
Antoine Wehenkel, Gilles Louppe
Unconstrained Monotonic Neural Networks. CoRR (2019)
Antoine Wehenkel, Gilles Louppe
Unconstrained Monotonic Neural Networks. BNAIC/BENELEARN (2019)
Arthur Pesah, Antoine Wehenkel, Gilles Louppe
Recurrent machines for likelihood-free inference. CoRR (2018)
Antoine Dubois, Antoine Wehenkel, Raphael Fonteneau, Frédéric Olivier, Damien Ernst
An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles. ICAART (1) (2017)