Projects

PhD Projects

Playing Coinche with Deep Counterfactual Regret Minimization

Course: Adversarial ML - Université de Montréal
Links: GitHub · Report

Masters Projects

Improving Molecular Modeling with Geometric GNNs

Two-semester research project - CentraleSupélec
Links: GitHub · Article

Enforcing Sparsity with Horseshoe Prior

Course: Bayesian ML - MVA
Links: GitHub · Report

Expressivity of Neural Networks for Distributions

Course: Theoretical Principles of Deep Learning - CentraleSupélec
Links: GitHub · Report

Open, closed, and everything in between: towards safer large models

Course: Introduction to AI safety (Turing Seminar) - MVA
Links: Report

PCA-guided Search for K-means

Course: Probabilistic Graphical Models and Deep Generative Models - MVA
Links: GitHub · Report

QRT Football Data Challenge

Course: Learning and Generation using Random Sampling - Collège de France
Links: GitHub · Report

Correlated Topic Models

Course: Bayesian Statistics - Politecnico di Milano
Links: GitHub · Report