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2020 – today
- 2024
[c16]Charles Arnal, Vivien Cabannes, Vianney Perchet:
Mode Estimation with Partial Feedback. COLT 2024: 219-220- [c15]Vivien Cabannes, Charles Arnal:
Touring Sampling With Pushforward Maps. ICASSP 2024: 5265-5269 - [c14]Vivien Cabannes, Elvis Dohmatob, Alberto Bietti:
Scaling Laws for Associative Memories. ICLR 2024 - [c13]Vivien Cabannes, Berfin Simsek, Alberto Bietti:
Learning Associative Memories with Gradient Descent. ICML 2024 - [i22]Charles Arnal
, Vivien Cabannes, Vianney Perchet:
Mode Estimation with Partial Feedback. CoRR abs/2402.13079 (2024) - [i21]Vivien Cabannes, Berfin Simsek, Alberto Bietti:
Learning Associative Memories with Gradient Descent. CoRR abs/2402.18724 (2024) - [i20]Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Alice Yang, François Charton, Julia Kempe:
Iteration Head: A Mechanistic Study of Chain-of-Thought. CoRR abs/2406.02128 (2024) - [i19]Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun:
𝕏-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. CoRR abs/2407.18134 (2024) - 2023
- [c12]Vivien Cabannes, Stefano Vigogna:
A Case of Exponential Convergence Rates for SVM. AISTATS 2023: 359-374 - [c11]Vivien Cabannes:
Learning with Variational Objectives on Measures. IEEE Big Data 2023: 1059-1063 - [c10]Vivien Cabannes, Alberto Bietti, Randall Balestriero:
On Minimal Variations for Unsupervised Representation Learning. ICASSP 2023: 1-5 - [c9]Vivien Cabannes, Léon Bottou, Yann LeCun, Randall Balestriero:
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need. ICCV 2023: 16228-16237 - [c8]Vivien Cabannes, Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti:
The SSL Interplay: Augmentations, Inductive Bias, and Generalization. ICML 2023: 3252-3298 - [c7]Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Hervé Jégou, Léon Bottou:
Birth of a Transformer: A Memory Viewpoint. NeurIPS 2023 - [c6]Vivien Cabannes, Stefano Vigogna:
How many samples are needed to leverage smoothness? NeurIPS 2023 - [i18]Vivien Cabannes, Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti:
The SSL Interplay: Augmentations, Inductive Bias, and Generalization. CoRR abs/2302.02774 (2023) - [i17]Vivien Cabannes, Léon Bottou, Yann LeCun, Randall Balestriero:
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need. CoRR abs/2303.15256 (2023) - [i16]Vivien Cabannes, Stefano Vigogna:
How many samples are needed to leverage smoothness? CoRR abs/2305.16014 (2023) - [i15]Vivien Cabannes:
Going Deeper with Spectral Embeddings. CoRR abs/2306.00742 (2023) - [i14]Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Hervé Jégou, Léon Bottou:
Birth of a Transformer: A Memory Viewpoint. CoRR abs/2306.00802 (2023) - [i13]Vivien Cabannes, Carles Domingo-Enrich:
Open Problem: Learning with Variational Objectives on Measures. CoRR abs/2306.11928 (2023) - [i12]Vivien Cabannes, Elvis Dohmatob, Alberto Bietti:
Scaling Laws for Associative Memories. CoRR abs/2310.02984 (2023) - [i11]Vivien Cabannes, Charles Arnal:
Touring sampling with pushforward maps. CoRR abs/2311.13845 (2023) - 2022
- [c5]Vivien Cabannes, Francis R. Bach, Vianney Perchet, Alessandro Rudi:
Active Labeling: Streaming Stochastic Gradients. NeurIPS 2022 - [i10]Vivien Cabannes, Stefano Vigogna:
A Case of Exponential Convergence Rates for SVM. CoRR abs/2205.10055 (2022) - [i9]Vivien Cabannes, Francis R. Bach, Vianney Perchet, Alessandro Rudi:
Active Labeling: Streaming Stochastic Gradients. CoRR abs/2205.13255 (2022) - [i8]Vivien Cabannes:
From Weakly Supervised Learning to Active Learning. CoRR abs/2209.11629 (2022) - [i7]Vivien Cabannes, Alberto Bietti, Randall Balestriero:
On minimal variations for unsupervised representation learning. CoRR abs/2211.03782 (2022) - 2021
- [c4]Vivien A. Cabannes, Francis R. Bach, Alessandro Rudi:
Fast Rates for Structured Prediction. COLT 2021: 823-865 - [c3]Vivien A. Cabannes, Francis R. Bach, Alessandro Rudi:
Disambiguation of Weak Supervision leading to Exponential Convergence rates. ICML 2021: 1147-1157 - [c2]Vivien Cabannes, Loucas Pillaud-Vivien, Francis R. Bach, Alessandro Rudi:
Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning. NeurIPS 2021: 30439-30451 - [i6]Vivien Cabannes, Alessandro Rudi, Francis R. Bach:
Fast rates in structured prediction. CoRR abs/2102.00760 (2021) - [i5]Vivien Cabannes, Francis R. Bach, Alessandro Rudi:
Disambiguation of weak supervision with exponential convergence rates. CoRR abs/2102.02789 (2021) - 2020
- [c1]Vivien Cabannes, Alessandro Rudi, Francis R. Bach:
Structured Prediction with Partial Labelling through the Infimum Loss. ICML 2020: 1230-1239 - [i4]Vivien Cabannes, Alessandro Rudi, Francis R. Bach:
Structured Prediction with Partial Labelling through the Infimum Loss. CoRR abs/2003.00920 (2020) - [i3]Vivien Cabannes:
Consistency and Regression with Laplacian regularization in Reproducing Kernel Hilbert Space. CoRR abs/2009.04324 (2020) - [i2]Vivien Cabannes, Thomas Kerdreux, Louis Thiry:
Diptychs of human and machine perceptions. CoRR abs/2010.13864 (2020)
2010 – 2019
- 2019
- [i1]Vivien Cabannes, Thomas Kerdreux, Louis Thiry, Tina Campana, Charly Ferrandes:
Dialog on a canvas with a machine. CoRR abs/1910.04386 (2019)
Coauthor Index
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last updated on 2024-10-07 22:13 CEST by the dblp team
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