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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 

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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" 

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A Mathematical Theory of Attention


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


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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


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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


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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 

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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 

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