Office I-104 - Montefiore
Grande Traverse 10, 4000 Liège, Belgium
+32 497 06 91 46

firstname.name@gmail.com

Antoine Wehenkel

Phd student

About me

In 2018, I was graduated in computer engineering (Msc) from ULiège. I spent my last year of study at Ecole Polytechnique Fédérale de Lausanne (EPFL) as an exchange student. There, I did my master's thesis in Jean-Yves Le Boudec's laboratory, which was about the parameters estimation of electrical distribution networks' lines. Since 2018, I am a PhD student in machine learning at ULiège (Belgium) under the supervision of Professor Gilles Louppe.

In summer 2021, I interned at Amazon Web Services where I worked on automated code analysis.

In my dreams, I want to boost the interaction between fundamental sciences and machine learning methods with the objective of making scientific discovery but also for building predictive models that can be deployed more reliably in the real world. When I wake up, I try to advance simulation-based inference by exploring new means for implementing more effectively inductive bias into deep generative models. My main research interests are in generative modeling, causal models and simulation-based inference.

Download CV

Publications

Peer Reviewed

In Preparation

Presentations

And posters

Normalizing Flows and Bayesian networks

Presentation - HES Geneva
February 2022
Link to the slides

Normalizing Flows and Bayesian networks

Presentation - CogSys seminar, DTU
October 2020
Link to the slides Link to the video

Normalizing Flows for Probabilistic Modeling and Inference

Presentation - ML Journal Club, ULiège
April 2020
Link to the slides

Unconstrained Monotonic Neural Networks

Poster - NeurIPS 2019 @ Vancouver
December 2019
Link to the poster Link to the paper

Neural Likelihood-Free Inference

Presentation - Grappa, UvA in Amsterdam
November 2019
Link to the slides

Unconstrained Monotonic Neural Networks

Presentation - Benelearn 2019 @ Brussels
November 2019
Link to the slides

Unconstrained Monotonic Neural Networks

Poster - Prairie AI Summer School 2019 @ Paris
October 2019
Link to the poster

Recurrent Machines For Likelihood Free Inference

Poster - MetaLearn Workshop @ NeurIPS 2018, Montreal
December 2018
Link to the poster