Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Aristide Baratin

On the Regularity of Attention

Feb 10, 2021
James Vuckovic, Aristide Baratin, Remi Tachet des Combes

* Conference version of arXiv:2007.02876 

  Access Paper or Ask Questions

Implicit Regularization in Deep Learning: A View from Function Space

Aug 03, 2020
Aristide Baratin, Thomas George, César Laurent, R Devon Hjelm, Guillaume Lajoie, Pascal Vincent, Simon Lacoste-Julien

* 24 pages. A preliminary version of this work has been presented at the NeurIPS 2019 Workshops on "Machine Learning with Guarantees" and "Science meets Engineering of Deep Learning" 

  Access Paper or Ask Questions

A Mathematical Theory of Attention

Jul 06, 2020
James Vuckovic, Aristide Baratin, Remi Tachet des Combes

  Access Paper or Ask Questions

A Modern Take on the Bias-Variance Tradeoff in Neural Networks

Oct 19, 2018
Brady Neal, Sarthak Mittal, Aristide Baratin, Vinayak Tantia, Matthew Scicluna, Simon Lacoste-Julien, Ioannis Mitliagkas

  Access Paper or Ask Questions

On the Spectral Bias of Neural Networks

Oct 17, 2018
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron Courville

  Access Paper or Ask Questions

MINE: Mutual Information Neural Estimation

Jun 07, 2018
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, Aaron Courville, R Devon Hjelm

* ICML 2018 
* 19 pages, 6 figures 

  Access Paper or Ask Questions

A3T: Adversarially Augmented Adversarial Training

Jan 12, 2018
Akram Erraqabi, Aristide Baratin, Yoshua Bengio, Simon Lacoste-Julien

* accepted for an oral presentation in Machine Deception Workshop, NIPS 2017 

  Access Paper or Ask Questions