Grégoire Mialon

20 papers A* 4A 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments. CoRR Romain Froger, Pierre Andrews, Matteo Bettini, Amar Budhiraja, Ricardo Silveira Cabral, Virginie Do, Emilien Garreau, Jean-Baptiste Gaya, Hugo Laurençon, Maxime Lecanu, Kunal Malkan, Dheeraj Mekala, Pierre Ménard, Gerard Moreno-Torres Bertran, Ulyana Piterbarg, Mikhail Plekhanov, Mathieu Rita, Andrey Rusakov, Vladislav Vorotilov, Mengjue Wang, Ian Yu, Amine Benhalloum, Grégoire Mialon, Thomas Scialom
2025	J	`jnl`	ARE: Scaling Up Agent Environments and Evaluations. CoRR Pierre Andrews, Amine Benhalloum, Gerard Moreno-Torres Bertran, Matteo Bettini, Amar Budhiraja, Ricardo Silveira Cabral, Virginie Do, Romain Froger, Emilien Garreau, Jean-Baptiste Gaya, Hugo Laurençon, Maxime Lecanu, Kunal Malkan, Dheeraj Mekala, Pierre Ménard, Grégoire Mialon, Ulyana Piterbarg, Mikhail Plekhanov, Mathieu Rita, Andrey Rusakov, Thomas Scialom, Vladislav Vorotilov, Mengjue Wang, Ian Yu
2024	A*	`conf`	GAIA: a benchmark for General AI Assistants. ICLR Grégoire Mialon, Clémentine Fourrier, Thomas Wolf, Yann LeCun, Thomas Scialom
2023	J	`jnl`	A Cookbook of Self-Supervised Learning. CoRR Randall Balestriero, Mark Ibrahim, Vlad Sobal, Ari Morcos, Shashank Shekhar, Tom Goldstein, Florian Bordes, Adrien Bardes, Grégoire Mialon, Yuandong Tian, Avi Schwarzschild, Andrew Gordon Wilson, Jonas Geiping, Quentin Garrido, Pierre Fernandez, Amir Bar, Hamed Pirsiavash, Yann LeCun, Micah Goldblum
2023	J	`jnl`	Augmented Language Models: a Survey. CoRR Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom
2023	J	`jnl`	Augmented Language Models: a Survey. Trans. Mach. Learn. Res. Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom
2023	J	`jnl`	GAIA: a benchmark for General AI Assistants. CoRR Grégoire Mialon, Clémentine Fourrier, Craig Swift, Thomas Wolf, Yann LeCun, Thomas Scialom
2023	J	`jnl`	On Inductive Biases for Machine Learning in Data Constrained Settings. CoRR Grégoire Mialon
2023	A*	`conf`	Self-Supervised Learning with Lie Symmetries for Partial Differential Equations. NeurIPS Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak T. Kiani
2023	J	`jnl`	Self-Supervised Learning with Lie Symmetries for Partial Differential Equations. CoRR Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Toussi Kiani
2023	J	`jnl`	WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models. CoRR Youssef Benchekroun, Megi Dervishi, Mark Ibrahim, Jean-Baptiste Gaya, Xavier Martinet, Grégoire Mialon, Thomas Scialom, Emmanuel Dupoux, Dieuwke Hupkes, Pascal Vincent
2022	—	`—`	On Inductive Biases for Machine Learning in Data Constrained Settings. (Biais inductifs pour l'apprentissage automatique à partir de données limitées). Grégoire Mialon
2022	J	`jnl`	Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations. CoRR Grégoire Mialon, Randall Balestriero, Yann LeCun
2021	A*	`conf`	A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention. ICLR Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal
2021	J	`jnl`	GraphiT: Encoding Graph Structure in Transformers. CoRR Grégoire Mialon, Dexiong Chen, Margot Selosse, Julien Mairal
2020	J	`jnl`	An Optimal Transport Kernel for Feature Aggregation and its Relationship to Attention. CoRR Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal
2020	A	`conf`	Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions. AISTATS Grégoire Mialon, Julien Mairal, Alexandre d'Aspremont
2019	A*	`conf`	A Kernel Perspective for Regularizing Deep Neural Networks. ICML Alberto Bietti, Grégoire Mialon, Dexiong Chen, Julien Mairal
2019	J	`jnl`	Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Function. CoRR Grégoire Mialon, Alexandre d'Aspremont, Julien Mairal
2018	J	`jnl`	On Regularization and Robustness of Deep Neural Networks. CoRR Alberto Bietti, Grégoire Mialon, Julien Mairal