Antoine Wehenkel

According to our database, Antoine Wehenkel authored at least 19 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Robust Hybrid Learning With Expert Augmentation.

Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen

Trans. Mach. Learn. Res., 2023

Distributional reinforcement learning with unconstrained monotonic neural networks.

Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst

Neurocomputing, 2023

Simulation-based Inference for Cardiovascular Models.

Antoine Wehenkel, Jens Behrmann, Andrew C. Miller, Guillermo Sapiro, Ozan Sener, Marco Cuturi, Jörn-Henrik Jacobsen

CoRR, 2023

Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability.

Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Inductive Bias In Deep Probabilistic Modelling.

Antoine Wehenkel

PhD thesis, 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

Trans. Mach. Learn. Res., 2022

Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation.

Arnaud Delaunoy, Joeri Hermans, François Rozet, Antoine Wehenkel, Gilles Louppe

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Averting A Crisis In Simulation-Based Inference.

Joeri Hermans, Arnaud Delaunoy, François Rozet, Antoine Wehenkel, Gilles Louppe

CoRR, 2021

Diffusion Priors In Variational Autoencoders.

Antoine Wehenkel, Gilles Louppe

CoRR, 2021

Deep generative modeling for probabilistic forecasting in power systems.

Jonathan Dumas, Antoine Wehenkel, Damien Lanaspeze, Bertrand Cornélusse, Antonio Sutera

CoRR, 2021

A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market.

Jonathan Dumas, Colin Cointe, Antoine Wehenkel, Antonio Sutera, Xavier Fettweis, Bertrand Cornélusse

CoRR, 2021

Graphical Normalizing Flows.

Antoine Wehenkel, Gilles Louppe

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference.

Maxime Vandegar, Michael Kagan, Antoine Wehenkel, Gilles Louppe

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines From Synchrophasor Measurements.

Antoine Wehenkel, Arpan Mukhopadhyay, Jean-Yves Le Boudec, Mario Paolone

IEEE Trans. Instrum. Meas., 2020

Lightning-Fast Gravitational Wave Parameter Inference through Neural Amortization.

Arnaud Delaunoy, Antoine Wehenkel, Tanja Hinderer, Samaya Nissanke, Christoph Weniger, Andrew R. Williamson, Gilles Louppe

CoRR, 2020

You say Normalizing Flows I see Bayesian Networks.

Antoine Wehenkel, Gilles Louppe

CoRR, 2020

2019

Unconstrained Monotonic Neural Networks.

Antoine Wehenkel, Gilles Louppe

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

Recurrent machines for likelihood-free inference.

Arthur Pesah, Antoine Wehenkel, Gilles Louppe

CoRR, 2018

2017

An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles.

Antoine Dubois, Antoine Wehenkel, Raphael Fonteneau, Frédéric Olivier, Damien Ernst

Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017