Yann Ollivier
- Ricci curvature of Markov chains on metric spaces
2008/11/29 by Yann Ollivier · 80 citations
Mathematics · Computer Science · #Geometric Analysis and Curvature Flows #Point processes and geometric inequalities #Topological and Geometric Data Analysis
- White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
2019/08/29 by Alexandre Sablayrolles, Sablayrolles, Alexandre, Matthijs Douze +7 · 25 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
- Learning One Representation to Optimize All Rewards
2021/03/14 by Ahmed Touati, Yann Ollivier, Touati, Ahmed +1 · 1 voice · 14 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning
- Can recurrent neural networks warp time?
2018/03/23 by Corentin Tallec, Yann Ollivier, Tallec, Corentin +1 · 11 citations
Computer Science · #Neural Networks and Applications #Topic Modeling #Time Series Analysis and Forecasting
- The Description Length of Deep Learning Models
2018/02/20 by Léonard Blier, Blier, Léonard, Yann Ollivier +1 · 7 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning in Healthcare #Topic Modeling
- Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint
2021/01/18 by Léonard Blier, Corentin Tallec, Blier, Léonard +3 · 8 citations
Computer Science · Decision Sciences · Physics and Astronomy · #Adaptive Dynamic Programming Control #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Reinforcement Learning in Robotics #Stochastic Gradient Optimization Techniques
- Kazhdan groups with infinite outer automorphism group
2004/09/13 by Yann Ollivier, Daniel T. Wise, Ollivier, Yann +1 · 2 citations
Mathematics · #20E22 #20F06 #20F28 #20P05 #FOS: Mathematics #Group Theory (math.GR) #math.GR #msc:20E22 #msc:20F06 #msc:20F28 #msc:20P05
- Separating value functions across time-scales
2019/02/05 by Joshua Romoff, Peter Henderson, Romoff, Joshua +8 · 3 citations
Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Sharp phase transition theorems for hyperbolicity of random groups
2003/01/17 by Yann Ollivier, Ollivier, Yann · 1 citation
Mathematics · #20F67 #20P05 (Primary) 20F06 #60B99 (Secondary) #FOS: Mathematics #Geometric and Algebraic Topology #Group Theory (math.GR) #Mathematical Dynamics and Fractals #Probability (math.PR) #math.GR #math.PR #msc:20F06 #msc:20F67 #msc:20P05 #msc:60B99
- Online Natural Gradient as a Kalman Filter
2017/03/01 by Yann Ollivier, Ollivier, Yann · 1 voice · 1 citation
Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Neural Networks and Applications #Optimization and Control (math.OC) #Target Tracking and Data Fusion in Sensor Networks #math.OC #stat.ML
- The Extended Kalman Filter is a Natural Gradient Descent in Trajectory Space
2019/01/03 by Yann Ollivier, Ollivier, Yann · 2 citations
Computer Science · #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Neural Networks and Applications #Optimization and Control (math.OC) #Target Tracking and Data Fusion in Sensor Networks
- Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
2026/01/26 by Shobhita Sundaram, John Quan, Ariel Kwiatkowski +3 · 3 voices
#cs.LG #cs.CL
- True Asymptotic Natural Gradient Optimization
2017/12/22 by Yann Ollivier, Ollivier, Yann · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Quantum Information and Cryptography #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Practical Riemannian Neural Networks
2016/02/25 by Gaétan Marceau-Caron, Marceau-Caron, Gaétan, Yann Ollivier +1 · 3 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques
- Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting
2024/12/05 by Edoardo Cetin, Cetin, Edoardo, Yann Ollivier +2 · 2 citations
Computer Science · #Neural Networks and Applications
- Mixed batches and symmetric discriminators for GAN training
2018/06/19 by Thomas W. Lucas, Corentin Tallec, Lucas, Thomas +5 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing
- Layer-wise learning of deep generative models
2012/12/07 by Ludovic Arnold, Arnold, Ludovic, Yann Ollivier +1 · 1 citation
Computer Science · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Time Series Analysis and Forecasting