Vivien Cabannes

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All published works

Action	Title	Year	Authors
+ PDF Chat	Easing Optimization Paths: a Circuit Perspective	2025	Ambroise Odonnat Wassim Bouaziz Vivien Cabannes
+ PDF Chat	Iteration Head: A Mechanistic Study of Chain-of-Thought	2024	Vivien Cabannes Charles Arnal Wassim Bouaziz A.-B. Yang François Charton Julia Kempe
+ PDF Chat	Scaling Laws with Hidden Structure	2024	Charles Arnal Clément Berenfeld S. Rosenberg Vivien Cabannes
+ PDF Chat	A Visual Case Study of the Training Dynamics in Neural Networks	2024	Ambroise Odonnat Wassim Bouaziz Vivien Cabannes
+ PDF Chat	$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs	2024	Vlad Sobal Mark Ibrahim Randall Balestriero Vivien Cabannes Diane Bouchacourt Pietro Astolfi Kyunghyun Cho Yann LeCun
+	Touring Sampling With Pushforward Maps	2024	Vivien Cabannes Charles Arnal
+ PDF Chat	Learning Associative Memories with Gradient Descent	2024	Vivien Cabannes Berfin Şimşek Alberto Bietti
+ PDF Chat	Mode Estimation with Partial Feedback	2024	Charles Arnal Vivien Cabannes Vianney Perchet
+ PDF Chat	Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need	2023	Vivien Cabannes Léon Bottou Yann LeCun Randall Balestriero
+	On Minimal Variations for Unsupervised Representation Learning	2023	Vivien Cabannes Alberto Bietti Randall Balestriero
+	The SSL Interplay: Augmentations, Inductive Bias, and Generalization	2023	Vivien Cabannes Bobak T. Kiani Randall Balestriero Yann LeCun Alberto Bietti
+	Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need	2023	Vivien Cabannes Léon Bottou Yann LeCun Randall Balestriero
+	How many samples are needed to leverage smoothness?	2023	Vivien Cabannes Stefano Vigogna
+	Going Deeper with Spectral Decompositions	2023	Vivien Cabannes
+	Birth of a Transformer: A Memory Viewpoint	2023	Alberto Bietti Vivien Cabannes Diane Bouchacourt Hervé Jeǵou Léon Bottou
+	Open Problem: Learning with Variational Objectives on Measures	2023	Vivien Cabannes Carles Domingo-Enrich
+	Scaling Laws for Associative Memories	2023	Vivien Cabannes Elvis Dohmatob Alberto Bietti
+	Touring sampling with pushforward maps	2023	Vivien Cabannes Charles Arnal
+	A Case of Exponential Convergence Rates for SVM	2022	Vivien Cabannes Stefano Vigogna
+	From Weakly Supervised Learning to Active Learning	2022	Vivien Cabannes
+	Active Labeling: Streaming Stochastic Gradients	2022	Vivien Cabannes Francis Bach Vianney Perchet Alessandro Rudi
+	On minimal variations for unsupervised representation learning	2022	Vivien Cabannes Alberto Bietti Randall Balestriero
+ PDF Chat	Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning	2021	Vivien Cabannes Loucas Pillaud-Vivien Francis Bach Alessandro Rudi
+	Super fast rates in structured prediction	2021	Vivien Cabannes Alessandro Rudi Francis Bach
+	Disambiguation of weak supervision with exponential convergence rates	2021	Vivien Cabannes Francis R. Bach Alessandro Rudi
+	Fast rates in structured prediction	2021	Vivien Cabannes Alessandro Rudi Francis Bach
+	Consistency and Regression with Laplacian regularization in Reproducing Kernel Hilbert Space.	2020	Vivien Cabannes
+	Kernel Ridge Regression with kernel Laplacian Regularization	2020	Vivien Cabannes
+	Diptychs of human and machine perceptions	2020	Vivien Cabannes Thomas Kerdreux Louis Thiry
+	Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning	2020	Vivien Cabannes Loucas Pillaud-Vivien Francis Bach Alessandro Rudi
+	Dialog on a canvas with a machine	2019	Vivien Cabannes Thomas Kerdreux Louis Thiry Tina Campana Charly Ferrandes
+	Dialog on a canvas with a machine	2019	Vivien Cabannes Thomas Kerdreux Louis Thiry Tina Campana Charly Ferrandes

Common Coauthors

Coauthor	Papers Together
Randall Balestriero	6
Alessandro Rudi	6
Alberto Bietti	6
Charles Arnal	5
Yann LeCun	4
Léon Bottou	3
Thomas Kerdreux	3
Wassim Bouaziz	3
Louis Thiry	3
Francis Bach	3
Stefano Vigogna	2
Vianney Perchet	2
Tina Campana	2
Charly Ferrandes	2
Diane Bouchacourt	2
Ambroise Odonnat	2
Loucas Pillaud-Vivien	2
A.-B. Yang	1
Kyunghyun Cho	1
Vlad Sobal	1
Mark Ibrahim	1
Carles Domingo-Enrich	1
Elvis Dohmatob	1
François Charton	1
Pietro Astolfi	1
Julia Kempe	1
Berfin Şimşek	1
S. Rosenberg	1
Francis Bach	1
Clément Berenfeld	1
Bobak T. Kiani	1
Francis R. Bach	1
Francis Bach	1
Hervé Jeǵou	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Convexity, Classification, and Risk Bounds	2006	Peter L. Bartlett Michael I. Jordan Jon McAuliffe	3
+ PDF Chat	On some extensions of Bernstein’s inequality for self-adjoint operators	2017	Stanislav Minsker	3
+	Generalization error bounds in semi-supervised classification under the cluster assumption	2006	Philippe Rigollet	3
+ PDF Chat	Optimal Rates for the Regularized Least-Squares Algorithm	2006	Andrea Caponnetto Ernesto De Vito	3
+	Structured Prediction with Partial Labelling through the Infimum Loss	2020	Vivien Cabannnes Francis Bach Alessandro Rudi	3
+	Sharp Analysis of Learning with Discrete Losses	2018	Alex Nowak-Vila Francis Bach Alessandro Rudi	3
+	A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings	2020	Carlo Ciliberto Lorenzo Rosasco Alessandro Rudi	2
+ PDF Chat	Consistent Nonparametric Regression	1977	Charles J. Stone	2
+	Graph Laplacians and their Convergence on Random Neighborhood Graphs	2007	Matthias Hein Jean-Yves Audibert Ulrike von Luxburg	2
+	Estimation of Relationships for Limited Dependent Variables	1958	James Tobin	2
+	Sous-espaces hilbertiens d’espaces vectoriels topologiques et noyaux associés (Noyaux reproduisants)	1964	Laurent Schwartz	2
+ PDF Chat	Learning Theory Estimates via Integral Operators and Their Approximations	2007	Steve Smale Ding‐Xuan Zhou	2
+ PDF Chat	Fast learning rates for plug-in classifiers	2007	Jean-Yves Audibert Alexandre B. Tsybakov	2
+	Derivative reproducing properties for kernel methods in learning theory	2007	Ding‐Xuan Zhou	2
+	MixMatch: A Holistic Approach to Semi-Supervised Learning	2019	David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel	2
+	Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces	2018	Junhong Lin Alessandro Rudi Lorenzo Rosasco Volkan Cevher	2
+	Analysis and Geometry of Markov Diffusion Operators	2013	Dominique Bakry Ivan Gentil Michel Ledoux	2
+	A Consistent Regularization Approach for Structured Prediction	2016	Carlo Ciliberto Alessandro Rudi Lorenzo Rosasco	2
+ PDF Chat	MaxiMin Active Learning in Overparameterized Model Classes	2020	Mina Karzand Robert D. Nowak	2
+	The Variational Formulation of the Fokker--Planck Equation	1998	Richard W. Jordan David Kinderlehrer Félix Otto	1
+ PDF Chat	Distribution Inequalities for the Binomial Law	1977	Eric Slud	1
+	On Estimating Regression	1964	É. A. Nadaraya	1
+ PDF Chat	Maximum Likelihood Estimation from Uncertain Data in the Belief Function Framework	2011	Thierry Denœux	1
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	1
+	A Neural Representation of Sketch Drawings	2017	David Ha Douglas Eck	1
+ PDF Chat	Ignorability and Coarse Data	1991	Daniel F. Heitjan Donald B. Rubin	1
+	THE GEOMETRY OF DISSIPATIVE EVOLUTION EQUATIONS: THE POROUS MEDIUM EQUATION	2001	Félix Otto	1
+ PDF Chat	Optimal Rates of Convergence for Nonparametric Estimators	1980	Charles J. Stone	1
+	Smooth discrimination analysis	1999	Enno Mammen Alexandre B. Tsybakov	1
+ PDF Chat	Consistency of spectral clustering	2008	Ulrike von Luxburg Mikhail A. Belkin Olivier Bousquet	1
+	Gradient Flows: In Metric Spaces and in the Space of Probability Measures	2005	Luigi Ambrosio Nicola Gigli Giuseppe Savaré	1
+ PDF Chat	Consistent Window Estimation in Nonparametric Regression	1980	Clifford H. Spiegelman J. Sacks	1
+	Smooth Regression Analysis	1964	Geoffrey S. Watson	1
+	Mercer’s Theorem on General Domains: On the Interaction between Measures, Kernels, and RKHSs	2012	Ingo Steinwart Clint Scovel	1
+	Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization	2013	Eyke Hüllermeier	1
+	On a Unified Framework for Approachability with Full or Partial Monitoring	2014	Vianney Perchet Marc Quincampoix	1
+	On an Infinite-Dimensional Version of S. N. Bernstein’s Inequalities	1970	V. V. Yurinskii	1
+	Generating Sequences With Recurrent Neural Networks	2013	Alex Graves	1
+	Orienting of Attention	1980	Michael I. Posner	1
+	Minimax nonparametric classification .I. Rates of convergence	1999	Yuhong Yang	1
+	Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data	2009	Boaz Nadler Nathan Srebro Xueyuan Zhou	1
+ PDF Chat	Distribution-Free Consistency Results in Nonparametric Discrimination and Regression Function Estimation	1980	Luc Devroye T. Wagner	1
+	Nearest neighbor pattern classification	1967	Thomas M. Cover Peter E. Hart	1
+	Integral Probability Metrics and Their Generating Classes of Functions	1997	Alfred Müller	1
+	Rates of Convergence for Nearest Neighbor Classification	2014	Kamalika Chaudhuri Sanjoy Dasgupta	1
+ PDF Chat	A Regularization Approach for Instance-Based Superset Label Learning	2017	Chen Gong Tongliang Liu Yuanyan Tang Jian Yang Jie Yang Dacheng Tao	1
+	Robust Locally Weighted Regression and Smoothing Scatterplots	1979	William S. Cleveland	1
+	CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms	2017	Ahmed Elgammal Bingchen Liu Mohamed Elhoseiny Marian Mazzone	1
+	Towards the Automatic Anime Characters Creation with Generative Adversarial Networks	2017	Yanghua Jin Jiakai Zhang Minjun Li Yingtao Tian Huachun Zhu Zhihao Fang	1
+	A NEW MEASURE OF RANK CORRELATION	1938	M. G. Kendall	1