Vivien Cabannes

45 papers A* 12A 1B 1Misc 3Journal 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards. CoRR Charles Arnal, Gaëtan Narozniak, Vivien Cabannes, Yunhao Tang, Julia Kempe, Rémi Munos
2025	Misc	`conf`	Easing Optimization Paths: a Circuit Perspective. ICASSP Ambroise Odonnat, Wassim Bouaziz, Vivien Cabannes
2025	J	`jnl`	Easing Optimization Paths: a Circuit Perspective. CoRR Ambroise Odonnat, Wassim Bouaziz, Vivien Cabannes
2025	J	`jnl`	Provable Benefits of In-Tool Learning for Large Language Models. CoRR Sam Houliston, Ambroise Odonnat, Charles Arnal, Vivien Cabannes
2025	J	`jnl`	Unveiling Simplicities of Attention: Adaptive Long-Context Head Identification. CoRR Konstantin Donhauser, Charles Arnal, Mohammad Pezeshki, Vivien Cabannes, David Lopez-Paz, Kartik Ahuja
2025	A*	`conf`	X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. ICLR Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun
2024	J	`jnl`	A Visual Case Study of the Training Dynamics in Neural Networks. CoRR Ambroise Odonnat, Wassim Bouaziz, Vivien Cabannes
2024	A*	`conf`	Iteration Head: A Mechanistic Study of Chain-of-Thought. NeurIPS Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Xingyu Yang, François Charton, Julia Kempe
2024	J	`jnl`	Iteration Head: A Mechanistic Study of Chain-of-Thought. CoRR Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Alice Yang, François Charton, Julia Kempe
2024	A*	`conf`	Learning Associative Memories with Gradient Descent. ICML Vivien Cabannes, Berfin Simsek, Alberto Bietti
2024	J	`jnl`	Learning Associative Memories with Gradient Descent. CoRR Vivien Cabannes, Berfin Simsek, Alberto Bietti
2024	A*	`conf`	Mode Estimation with Partial Feedback. COLT Charles Arnal, Vivien Cabannes, Vianney Perchet
2024	J	`jnl`	Mode Estimation with Partial Feedback. CoRR Charles Arnal, Vivien Cabannes, Vianney Perchet
2024	A*	`conf`	Scaling Laws for Associative Memories. ICLR Vivien Cabannes, Elvis Dohmatob, Alberto Bietti
2024	J	`jnl`	Scaling Laws with Hidden Structure. CoRR Charles Arnal, Clément Berenfeld, Simon Rosenberg, Vivien Cabannes
2024	Misc	`conf`	Touring Sampling With Pushforward Maps. ICASSP Vivien Cabannes, Charles Arnal
2024	J	`jnl`	𝕏-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. CoRR Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun
2023	A	`conf`	A Case of Exponential Convergence Rates for SVM. AISTATS Vivien Cabannes, Stefano Vigogna
2023	A*	`conf`	Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need. ICCV Vivien Cabannes, Léon Bottou, Yann LeCun, Randall Balestriero
2023	J	`jnl`	Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need. CoRR Vivien Cabannes, Léon Bottou, Yann LeCun, Randall Balestriero
2023	A*	`conf`	Birth of a Transformer: A Memory Viewpoint. NeurIPS Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Hervé Jégou, Léon Bottou
2023	J	`jnl`	Birth of a Transformer: A Memory Viewpoint. CoRR Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Hervé Jégou, Léon Bottou
2023	J	`jnl`	Going Deeper with Spectral Embeddings. CoRR Vivien Cabannes
2023	A*	`conf`	How many samples are needed to leverage smoothness? NeurIPS Vivien Cabannes, Stefano Vigogna
2023	J	`jnl`	How many samples are needed to leverage smoothness? CoRR Vivien Cabannes, Stefano Vigogna
2023	B	`conf`	Learning with Variational Objectives on Measures. IEEE Big Data Vivien Cabannes
2023	Misc	`conf`	On Minimal Variations for Unsupervised Representation Learning. ICASSP Vivien Cabannes, Alberto Bietti, Randall Balestriero
2023	J	`jnl`	Open Problem: Learning with Variational Objectives on Measures. CoRR Vivien Cabannes, Carles Domingo-Enrich
2023	J	`jnl`	Scaling Laws for Associative Memories. CoRR Vivien Cabannes, Elvis Dohmatob, Alberto Bietti
2023	A*	`conf`	The SSL Interplay: Augmentations, Inductive Bias, and Generalization. ICML Vivien Cabannes, Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti
2023	J	`jnl`	The SSL Interplay: Augmentations, Inductive Bias, and Generalization. CoRR Vivien Cabannes, Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti
2023	J	`jnl`	Touring sampling with pushforward maps. CoRR Vivien Cabannes, Charles Arnal
2022	J	`jnl`	A Case of Exponential Convergence Rates for SVM. CoRR Vivien Cabannes, Stefano Vigogna
2022	A*	`conf`	Active Labeling: Streaming Stochastic Gradients. NeurIPS Vivien Cabannes, Francis R. Bach, Vianney Perchet, Alessandro Rudi
2022	J	`jnl`	Active Labeling: Streaming Stochastic Gradients. CoRR Vivien Cabannes, Francis R. Bach, Vianney Perchet, Alessandro Rudi
2022	J	`jnl`	From Weakly Supervised Learning to Active Learning. CoRR Vivien Cabannes
2022	J	`jnl`	On minimal variations for unsupervised representation learning. CoRR Vivien Cabannes, Alberto Bietti, Randall Balestriero
2021	J	`jnl`	Disambiguation of weak supervision with exponential convergence rates. CoRR Vivien Cabannes, Francis R. Bach, Alessandro Rudi
2021	J	`jnl`	Fast rates in structured prediction. CoRR Vivien Cabannes, Alessandro Rudi, Francis R. Bach
2021	A*	`conf`	Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning. NeurIPS Vivien Cabannes, Loucas Pillaud-Vivien, Francis R. Bach, Alessandro Rudi
2020	J	`jnl`	Consistency and Regression with Laplacian regularization in Reproducing Kernel Hilbert Space. CoRR Vivien Cabannes
2020	J	`jnl`	Diptychs of human and machine perceptions. CoRR Vivien Cabannes, Thomas Kerdreux, Louis Thiry
2020	A*	`conf`	Structured Prediction with Partial Labelling through the Infimum Loss. ICML Vivien Cabannes, Alessandro Rudi, Francis R. Bach
2020	J	`jnl`	Structured Prediction with Partial Labelling through the Infimum Loss. CoRR Vivien Cabannes, Alessandro Rudi, Francis R. Bach
2019	J	`jnl`	Dialog on a canvas with a machine. CoRR Vivien Cabannes, Thomas Kerdreux, Louis Thiry, Tina Campana, Charly Ferrandes