ML Anthology
Authors
Search
About
Wehenkel, Antoine
11 publications
ICML
2025
Addressing Misspecification in Simulation-Based Inference Through Data-Driven Calibration
Antoine Wehenkel
,
Juan L. Gamella
,
Ozan Sener
,
Jens Behrmann
,
Guillermo Sapiro
,
Joern-Henrik Jacobsen
,
Marco Cuturi
NeurIPS
2025
Inductive Domain Transfer in Misspecified Simulation-Based Inference
Ortal Senouf
,
Antoine Wehenkel
,
Cédric Vincent-Cuaz
,
Emmanuel Abbe
,
Pascal Frossard
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
NeurIPSW
2023
Inferring Cardiovascular Biomarkers with Hybrid Model Learning
Ortal Senouf
,
Jens Behrmann
,
Joern-Henrik Jacobsen
,
Pascal Frossard
,
Emmanuel Abbe
,
Antoine Wehenkel
TMLR
2023
Robust Hybrid Learning with Expert Augmentation
Antoine Wehenkel
,
Jens Behrmann
,
Hsiang Hsu
,
Guillermo Sapiro
,
Gilles Louppe
,
Joern-Henrik Jacobsen
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
2019
Unconstrained Monotonic Neural Networks
Antoine Wehenkel
,
Gilles Louppe