Hey, I'm Théo Jaunet

I'm a Ph.D. student at LIRIS lab, INSA-Lyon (France) since september 2018, where I'm advised by Romain Vuillemot and Christian Wolf. My research is funded for 3 years by a French ministry Ph.D. fellowship and supported by the M2I project. More information here.

What if we Reduce the Memory of an Artificial Doom Player?

Theo Jaunet, Romain Vuillemot, Christian Wolf    

Abstract

This work is at the crossroads of three different fields and explores techniques of data visualization to advance machine learning for robotics applications. We propose new techniques for the visualization of the sim2real gap, which provide insights into the difference in performance obtained when neural networks are applied out of distribution (OOD) in real settings. The objective is to pinpoint transfer problems and to assist researchers and engineers in the fields of machine learning for robotics to design neural models which better transfer to real world scenarios.

@inproceedings{Jaunet:2020,author = {Theo Jaunet, Romain Vuillemot, Christian Wolf},
title = {Theo guesser},
journal = {Proceedings of the Workshop on Visualization for AI explainability (VISxAI)},
year = {2020},
editors = {Mennatallah El-Assady, Duen Horng (Polo) Chau, Fred Hohman, Adam Perer, Hendrik Strobelt, Fernanda Viégas},
url = {https://theo-jaunet.github.io/theo-guesser/} 
}