Randall Balestriero
- Chimère Ω — blueprint for a physico-cognitively inspired local-first LLM runtime
2025/11/11 by Randall Balestriero, Yann LeCun, Balestriero, Randall +1 · 14 voices · 30 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #cs.AI #cs.CV #cs.LG #stat.ML
- A Cookbook of Self-Supervised Learning
2023/04/24 by Randall Balestriero, Mark Ibrahim, Balestriero, Randall +36 · 2 voices · 32 citations
Computer Science · #Machine Learning and Data Classification
- LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
2026/03/13 by Lucas Maes, Quentin Le Lidec, Damien Scieur +2 · 14 voices · 5 citations
#cs.LG #cs.AI
- Learning in High Dimension Always Amounts to Extrapolation
2021/10/18 by Randall Balestriero, Jerome Pesenti, Balestriero, Randall +3 · 8 voices · 2 citations
#cs.LG #cs.CV
- Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
2022/05/23 by Randall Balestriero, Balestriero, Randall, Yann LeCun +1 · 11 citations
Computer Science · Engineering · Social Sciences · #Advanced Computing and Algorithms #Artificial Intelligence (cs.AI) #Civil and Geotechnical Engineering Research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Spectral Theory (math.SP) #Text and Document Classification Technologies
- Learning by Reconstruction Produces Uninformative Features For Perception
2024/02/17 by Randall Balestriero, Yann LeCun, Balestriero, Randall +1 · 12 citations
Computer Science · #Neural Networks and Applications
- Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models
2025/02/20 by Vlad Sobal, Sobal, Vlad, Wancong Zhang +8 · 13 citations
Computer Science · #AI-based Problem Solving and Planning #Advanced Database Systems and Queries #Bayesian Modeling and Causal Inference
- The Effects of Regularization and Data Augmentation are Class Dependent
2022/04/07 by Randall Balestriero, Balestriero, Randall, Léon Bottou +3 · 5 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
2024/08/09 by Haider Al-Tahan, Al-Tahan, Haider, Quentin Garrido +9 · 7 citations
Engineering · Psychology · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Language, Metaphor, and Cognition #Machine Learning (cs.LG) #Spatial Cognition and Navigation #Visual and Cognitive Learning Processes
- The Hidden Uniform Cluster Prior in Self-Supervised Learning
2022/10/13 by Mahmoud Assran, Randall Balestriero, Assran, Mahmoud +15 · 4 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Cross-Entropy Is All You Need To Invert the Data Generating Process
2024/10/29 by Patrik Reizinger, Alice Bizeul, Reizinger, Patrik +11 · 8 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- High Fidelity Visualization of What Your Self-Supervised Representation Knows About
2021/12/16 by Florian Bordes, Randall Balestriero, Bordes, Florian +3 · 3 citations
Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning
2022/06/27 by Florian Bordes, Randall Balestriero, Bordes, Florian +7 · 3 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
- Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation
2023/12/04 by Randall Balestriero, Balestriero, Randall, Romain Cosentino +3 · 3 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques
- An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization
2023/03/01 by Ravid Shwartz-Ziv, Randall Balestriero, Shwartz-Ziv, Ravid +7 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning and ELM #Neural Networks and Applications
- The Geometry of Deep Networks: Power Diagram Subdivision
2019/05/21 by Randall Balestriero, Romain Cosentino, Balestriero, Randall +5 · 1 citation
Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Numerical Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topological and Geometric Data Analysis
- \mathbbX-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
2024/07/25 by Vlad Sobal, Sobal, Vlad, Mark Ibrahim +13 · 1 voice · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #cs.CV #cs.LG
- Beyond [cls]: Exploring the true potential of Masked Image Modeling representations
2024/12/04 by Marcin Przewięźlikowski, Przewięźlikowski, Marcin, Randall Balestriero +7 · 2 voices · 1 citation
#cs.CV #cs.LG
- projUNN: efficient method for training deep networks with unitary matrices
2022/03/10 by Bobak T. Kiani, Randall Balestriero, Kiani, Bobak +5 · 1 citation
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Quantum Physics (quant-ph)
- LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures
2025/09/11 by Hai Huang, Huang, Hai, Yann LeCun +3 · 5 citations
Computer Science · #Multimodal Machine Learning Applications #Explainable Artificial Intelligence (XAI) #Domain Adaptation and Few-Shot Learning
- POLICE: Provably Optimal Linear Constraint Enforcement for Deep Neural Networks
2022/11/02 by Randall Balestriero, Balestriero, Randall, Yann LeCun +1 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning
- Understanding the Detrimental Class-level Effects of Data Augmentation
2023/12/07 by Polina Kirichenko, Kirichenko, Polina, Mark Ibrahim +11 · 1 citation
Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Training Dynamics of Deep Network Linear Regions
2023/10/19 by Ahmed Imtiaz Humayun, Humayun, Ahmed Imtiaz, Randall Balestriero +3 · 1 citation
Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural dynamics and brain function
- Interpreting Physics in Video World Models
2026/02/04 by Sonia Joseph, Quentin Garrido, Randall Balestriero +5 · 1 voice · 1 citation
#cs.CV #cs.AI
- Temporal Straightening for Latent Planning
2026/03/12 by Ying Wang, Oumayma Bounou, Gaoyue Zhou +4 · 2 voices · 1 citation
Computer Science · #cs.LG
- Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research
2025/04/17 by Patrik Reizinger, Reizinger, Patrik, Randall Balestriero +5 · 1 voice · 1 citation
Social Sciences · Psychology · #cs.LG #cs.AI #stat.ML
- The Fair Language Model Paradox
2024/10/15 by Tomer Galanti, Pinto, Andrea, Galanti, Tomer +2 · 1 citation
Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Discrimination and Equality Law #European and International Law Studies #FOS: Computer and information sciences #Legal Language and Interpretation #Machine Learning (cs.LG)