Grégoire Mialon | DeepAI

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∙ 07/11/2023

Self-Supervised Learning with Lie Symmetries for Partial Differential Equations

Machine learning for differential equations paves the way for computatio...

0 Grégoire Mialon, et al. ∙

∙ 04/24/2023

A Cookbook of Self-Supervised Learning

Self-supervised learning, dubbed the dark matter of intelligence, is a p...

0 Randall Balestriero, et al. ∙

∙ 02/21/2023

On Inductive Biases for Machine Learning in Data Constrained Settings

Learning with limited data is one of the biggest problems of machine lea...

0 Grégoire Mialon, et al. ∙

∙ 02/15/2023

Augmented Language Models: a Survey

This survey reviews works in which language models (LMs) are augmented w...

0 Grégoire Mialon, et al. ∙

∙ 09/29/2022

Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations

Self-Supervised Learning (SSL) methods such as VICReg, Barlow Twins or W...

13 Grégoire Mialon, et al. ∙

∙ 06/10/2021

GraphiT: Encoding Graph Structure in Transformers

We show that viewing graphs as sets of node features and incorporating s...

50 Grégoire Mialon, et al. ∙

∙ 06/22/2020

An Optimal Transport Kernel for Feature Aggregation and its Relationship to Attention

We introduce a kernel for sets of features based on an optimal transport...

0 Grégoire Mialon, et al. ∙

∙ 12/05/2019

Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Function

We design simple screening tests to automatically discard data samples i...

6 Grégoire Mialon, et al. ∙

∙ 09/30/2018

On Regularization and Robustness of Deep Neural Networks

Despite their success, deep neural networks suffer from several drawback...

0 Alberto Bietti, et al. ∙

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