Protein Design with Variational Auto Encoders
Abstract Chains of amino-acids, i.e. proteins, are an essential building block of life that can carry out many useful functions for medical and industrial applications. The... »
TrackMaster - Reinforcement Learning for Race Cars
The work presented here is a school project with Thomas Gilles, for a course on Reinforcement Learning [1]. We present a new Reinforcement Learning environment, TrackEnv,... »
Robust Frank-Wolfe Algorithm for Minimum Enclosing Bregman Balls
This post gathers theoretical convergence & complexity results on the Frank-Wolfe algorithm extended to Bregman divergences (instead of euclidian distance) and made robust to outliers. It... »
Kernelized Minimum Enclosing Balls for Machine Learning
In this post, we are going to talk about a very famous problem in computational geometry: the Minimum Enclosing Ball (MEB) problem, which consists in finding... »
Deep Segmentation of Road Images
The market of autonomous cars is soaring and most car companies are devoting an increasing part of their research & development budget to autonomous driving. It... »