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Balestriero, Randall

  1. Chimère Ω — blueprint for a physico-cognitively inspired local-first LLM runtime
    2025/11/11 by Randall Balestriero, Balestriero, Randall, Yann LeCun +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
  2. A Cookbook of Self-Supervised Learning
    2023/04/24 by Randall Balestriero, Balestriero, Randall, Mark Ibrahim +36 · 2 voices · 33 citations
    Computer Science · #Machine Learning and Data Classification
  3. 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
  4. Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
    2022/05/23 by Randall Balestriero, Yann LeCun, Balestriero, Randall +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
  5. Deep Networks Always Grok and Here is Why
    2024/02/23 by Humayun, Ahmed Imtiaz, Balestriero, Randall, Baraniuk, Richard · 11 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. 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
  7. 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 · 16 citations
    Computer Science · #AI-based Problem Solving and Planning #Advanced Database Systems and Queries #Bayesian Modeling and Causal Inference
  8. 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
  9. Mad Max: Affine Spline Insights into Deep Learning
    2018/05/17 by Balestriero, Randall, Baraniuk, Richard · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. 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
  11. The Hidden Uniform Cluster Prior in Self-Supervised Learning
    2022/10/13 by Mahmoud Assran, Assran, Mahmoud, Randall Balestriero +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)
  12. Cross-Entropy Is All You Need To Invert the Data Generating Process
    2024/10/29 by Patrik Reizinger, Reizinger, Patrik, Alice Bizeul +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
  13. High Fidelity Visualization of What Your Self-Supervised Representation Knows About
    2021/12/16 by Florian Bordes, Bordes, Florian, Randall Balestriero +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
  14. Neural Decision Trees
    2017/02/23 by Randall Balestriero, Balestriero, Randall · 2 citations
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications
  15. 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
  16. SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries
    2023/02/24 by Humayun, Ahmed Imtiaz, Balestriero, Randall, Balakrishnan, Guha +1 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation
    2023/12/04 by Randall Balestriero, Romain Cosentino, Balestriero, Randall +3 · 3 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  18. FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling
    2023/03/01 by Ko, Wei-Yin, D'souza, Daniel, Nguyen, Karina +2 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization
    2023/03/01 by Ravid Shwartz-Ziv, Shwartz-Ziv, Ravid, Randall Balestriero +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
  20. The Geometry of Deep Networks: Power Diagram Subdivision
    2019/05/21 by Randall Balestriero, Balestriero, Randall, Romain Cosentino +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
  21. \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
  22. The Recurrent Neural Tangent Kernel
    2020/06/18 by Alemohammad, Sina, Wang, Zichao, Balestriero, Randall +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  23. Beyond [cls]: Exploring the true potential of Masked Image Modeling representations
    2024/12/04 by Marcin Przewięźlikowski, Randall Balestriero, Przewięźlikowski, Marcin +7 · 2 voices · 1 citation
    #cs.CV #cs.LG
  24. projUNN: efficient method for training deep networks with unitary matrices
    2022/03/10 by Bobak T. Kiani, Kiani, Bobak, Randall Balestriero +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)
  25. LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures
    2025/09/11 by Hai Huang, Yann LeCun, Huang, Hai +3 · 5 citations
    Computer Science · #Multimodal Machine Learning Applications #Explainable Artificial Intelligence (XAI) #Domain Adaptation and Few-Shot Learning
  26. DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors
    2022/04/07 by Saragadam, Vishwanath, Balestriero, Randall, Veeraraghavan, Ashok +1 · 1 citation
    #Applications (stat.AP) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  27. What Do We Maximize in Self-Supervised Learning?
    2022/07/20 by Shwartz-Ziv, Ravid, Balestriero, Randall, LeCun, Yann · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. 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
  29. Joint Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self Supervised Learning
    2025/05/18 by Van Assel, Hugues, Ibrahim, Mark, Biancalani, Tommaso +2 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head
    2023/02/20 by Balestriero, Randall · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  31. 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
  32. Training Dynamics of Deep Network Linear Regions
    2023/10/19 by Ahmed Imtiaz Humayun, Randall Balestriero, Humayun, Ahmed Imtiaz +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
  33. General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound
    2025/06/24 by Ambsdorf, Jakob, Munk, Asbjørn, Llambias, Sebastian +6 · 1 voice · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.4 #Machine Learning (cs.LG)
  34. Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research
    2025/04/17 by Patrik Reizinger, Randall Balestriero, Reizinger, Patrik +5 · 1 voice · 1 citation
    Social Sciences · Psychology · #cs.LG #cs.AI #stat.ML
  35. The Fair Language Model Paradox
    2024/10/15 by Pinto, Andrea, Tomer Galanti, 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)
  36. Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry
    2025/10/08 by Fel, Thomas, Wang, Binxu, Lepori, Michael A. +8 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  37. Curvature Tuning: Provable Training-free Model Steering From a Single Parameter
    2025/02/11 by Linfeng Hu, Hu, Leyang, Gamba, Matteo +1 · 1 citation
    Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Soft Robotics and Applications
  38. stable-pretraining-v1: Foundation Model Research Made Simple
    2025/11/23 by Balestriero, Randall, Van Assel, Hugues, BuGhanem, Sami +1 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications