François Fleuret

E-mail: francois.fleuret@unige.ch
Address: University of Geneva
Bâtiment Battelle A
Route de Drize, 7
1227 Carouge, Switzerland

Professor, Machine Learning Group, University of Geneva. Adjunct Professor, École Polytechnique Fédérale de Lausanne. Co-founder Neural Concept SA.

News

I have an open PhD position in the field of deep learning for reinforcement learning, self-training and interpretability.
The slides and VM for my deep-learning course at the University of Geneva, and the École Polytechnique Fédérale de Lausanne are available.
One paper accepted at NeurIPS 2020. ↴
With Apoorv Vyas and Angelos Katharopoulos on speeding up transformers by clustering queries (Vyas et al, 2020).
One paper accepted at EMNLP 2020. ↴
With Vincent Micheli and Martin d'Hoffschmidt on the required amount of data for pre-training language models (Micheli et al, 2020).
One paper accepted at ACCV 2020. ↴
With Evann Courdier on a new performance measure for real-time semantic segmentation (Courdier and Fleuret, 2020).
On July 1st, 2020, I joined the University of Geneva as Full Professor of Computer Science.
Our project “Robust Deep Density Models for High-Energy Particle Physics and Solar Flare Analysis” is funded by the SNSF. ↴
This is a four year joint project with Slava Voloshynovskiy and Tobias Golling from the University of Geneva, and André Csillaghy from the University of Applied Sciences and Arts Northwestern Switzerland. Funding comes from the Sinergia program of the Swiss National Science Foundation.
Two papers accepted at ICML 2020. ↴
- With Teja Prabhu, Florian Mai, Thijs Vogels, and Martin Jaggi on the cost of hyper-parameter tuning (Prabhu et al, 2020).
- With Angelos Katharopoulos, Apoorv Vyas, and Nikolaos Pappas on speeding up transformers using a form of linear attention (Katharopoulos et al, 2020).