Dialog on a canvas with a machine. - Vivien Cabannes; Thomas Kerdreux; Louis Thiry; Tina Campana; Charly Ferrandes (CoRR, 2019)

Structured Prediction with Partial Labelling through the Infimum Loss. - Vivien Cabannes; Alessandro Rudi; Francis R. Bach (ICML, 2020)

Consistency and Regression with Laplacian regularization in Reproducing Kernel Hilbert Space. - Vivien Cabannes (CoRR, 2020)

Diptychs of human and machine perceptions. - Vivien Cabannes; Thomas Kerdreux; Louis Thiry (CoRR, 2020)

Fast Rates for Structured Prediction. - Vivien A. Cabannes; Francis R. Bach; Alessandro Rudi (COLT, 2021)

Disambiguation of Weak Supervision leading to Exponential Convergence rates. - Vivien A. Cabannes; Francis R. Bach; Alessandro Rudi (ICML, 2021)

Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning. - Vivien Cabannes; Loucas Pillaud-Vivien; Francis R. Bach; Alessandro Rudi (NeurIPS, 2021)

Disambiguation of weak supervision with exponential convergence rates. - Vivien Cabannes; Francis R. Bach; Alessandro Rudi (CoRR, 2021)

Active Labeling: Streaming Stochastic Gradients. - Vivien Cabannes; Francis R. Bach; Vianney Perchet; Alessandro Rudi (NeurIPS, 2022)

From Weakly Supervised Learning to Active Learning. - Vivien Cabannes (CoRR, 2022)

A Case of Exponential Convergence Rates for SVM. - Vivien Cabannes; Stefano Vigogna (AISTATS, 2023)

Learning with Variational Objectives on Measures. - Vivien Cabannes (IEEE Big Data, 2023)

On Minimal Variations for Unsupervised Representation Learning. - Vivien Cabannes; Alberto Bietti; Randall Balestriero (ICASSP, 2023)

Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need. - Vivien Cabannes; Léon Bottou; Yann LeCun; Randall Balestriero (ICCV, 2023)

The SSL Interplay: Augmentations, Inductive Bias, and Generalization. - Vivien Cabannes; Bobak Toussi Kiani; Randall Balestriero; Yann LeCun; Alberto Bietti (ICML, 2023)

Birth of a Transformer: A Memory Viewpoint. - Alberto Bietti; Vivien Cabannes; Diane Bouchacourt; Hervé Jégou; Léon Bottou (NeurIPS, 2023)

How many samples are needed to leverage smoothness? - Vivien Cabannes; Stefano Vigogna (NeurIPS, 2023)

Going Deeper with Spectral Embeddings. - Vivien Cabannes (CoRR, 2023)

Open Problem: Learning with Variational Objectives on Measures. - Vivien Cabannes; Carles Domingo-Enrich (CoRR, 2023)

Mode Estimation with Partial Feedback. - Charles Arnal; Vivien Cabannes; Vianney Perchet (COLT, 2024)

Touring Sampling With Pushforward Maps. - Vivien Cabannes; Charles Arnal (ICASSP, 2024)

Scaling Laws for Associative Memories. - Vivien Cabannes; Elvis Dohmatob; Alberto Bietti (ICLR, 2024)

Learning Associative Memories with Gradient Descent. - Vivien Cabannes; Berfin Simsek; Alberto Bietti (ICML, 2024)

Iteration Head: A Mechanistic Study of Chain-of-Thought. - Vivien Cabannes; Charles Arnal; Wassim Bouaziz; Xingyu Yang; François Charton; Julia Kempe (NeurIPS, 2024)

Iteration Head: A Mechanistic Study of Chain-of-Thought. - Vivien Cabannes; Charles Arnal; Wassim Bouaziz; Alice Yang; François Charton; Julia Kempe (CoRR, 2024)

A Visual Case Study of the Training Dynamics in Neural Networks. - Ambroise Odonnat; Wassim Bouaziz; Vivien Cabannes (CoRR, 2024)

Scaling Laws with Hidden Structure. - Charles Arnal; Clément Berenfeld; Simon Rosenberg; Vivien Cabannes (CoRR, 2024)

Easing Optimization Paths: a Circuit Perspective. - Ambroise Odonnat; Wassim Bouaziz; Vivien Cabannes (ICASSP, 2025)

X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. - Vlad Sobal; Mark Ibrahim; Randall Balestriero; Vivien Cabannes; Diane Bouchacourt; Pietro Astolfi; Kyunghyun Cho; Yann LeCun (ICLR, 2025)

Unveiling Simplicities of Attention: Adaptive Long-Context Head Identification. - Konstantin Donhauser; Charles Arnal; Mohammad Pezeshki; Vivien Cabannes; David Lopez-Paz; Kartik Ahuja (CoRR, 2025)

Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards. - Charles Arnal; Gaëtan Narozniak; Vivien Cabannes; Yunhao Tang; Julia Kempe; Rémi Munos (CoRR, 2025)