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Kolter, J. Zico

  1. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
    2018/03/04 by Shaojie Bai, J. Zico Kolter, Bai, Shaojie +3 · 3 voices · 321 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Music and Audio Processing
  2. Code of "Sirens' Whisper: Inaudible Near-Ultrasonic Jailbreaks of Speech-Driven LLMs"
    2023/07/27 by Andy Zou, Zi Wang, Zifan Wang +10 · 5 voices · 511 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.CR #cs.LG
  3. Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing
    2025/12/10 by Justin W. Lin, Eliot Krzysztof Jones, Lin, Justin W. +25 · 24 voices · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Information and Cyber Security #Web Application Security Vulnerabilities #cs.AI #cs.CR #cs.CY
  4. Representation Engineering: A Top-Down Approach to AI Transparency
    2023/10/02 by Andy Zou, Zou, Andy, Long Phan +40 · 5 voices · 174 citations
    Computer Science · Engineering · #cs.LG #cs.AI #cs.CL #cs.CV #cs.CY
  5. A Simple and Effective Pruning Approach for Large Language Models
    2023/06/20 by Ming-Jie Sun, Mingjie Sun, Zhuang Liu +6 · 2 voices · 132 citations
    Computer Science · Engineering · #Ferroelectric and Negative Capacitance Devices #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
  6. Perfectly Secure Steganography Using Minimum Entropy Coupling
    2022/10/24 by Christian Schroeder de Witt, Samuel Sokota, de Witt, Christian Schroeder +7 · 3 voices · 8 citations
    Computer Science · #Advanced Steganography and Watermarking Techniques #Chaos-based Image/Signal Encryption #Digital Media Forensic Detection #cs.AI #cs.CR #cs.MM
  7. Certified Adversarial Robustness via Randomized Smoothing
    2019/02/08 by Jeremy M. Cohen, Elan Rosenfeld, Cohen, Jeremy M +3 · 185 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning
  8. Multimodal Transformer for Unaligned Multimodal Language Sequences
    2019/06/01 by Tsai, Yao-Hung Hubert, Bai, Shaojie, Liang, Paul Pu +3 · 100 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  9. OptNet: Differentiable Optimization as a Layer in Neural Networks
    2017/03/01 by Brandon Amos, Amos, Brandon, J. Zico Kolter +1 · 82 citations
    Engineering · Mathematics · Physics and Astronomy · #Advanced Numerical Analysis Techniques #Advanced Optimization Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Optimization and Control (math.OC)
  10. Input Convex Neural Networks
    2016/09/22 by Amos, Brandon, Xu, Lei, Kolter, J. Zico · 61 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  11. Deep Equilibrium Models
    2019/09/03 by Shaojie Bai, J. Zico Kolter, Bai, Shaojie +3 · 53 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  12. Provable defenses against adversarial examples via the convex outer adversarial polytope
    2017/11/02 by Eric Wong, Wong, Eric, J. Zico Kolter +1 · 66 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  13. Fast is better than free: Revisiting adversarial training
    2020/01/12 by Eric Wong, Leslie Rice, Wong, Eric +3 · 72 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Advanced Malware Detection Techniques #Integrated Circuits and Semiconductor Failure Analysis
  14. Mean Flows for One-step Generative Modeling
    2025/05/19 by Zhengyang Geng, Mingyang Deng, Geng, Zhengyang +7 · 3 voices · 161 citations
    Computer Science · Engineering · Physics and Astronomy · #3D Shape Modeling and Analysis #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #cs.CV #cs.LG
  15. Understanding Hallucinations in Diffusion Models through Mode Interpolation
    2024/06/13 by Sumukh K Aithal, Pratyush Maini, Aithal, Sumukh K +5 · 1 voice · 31 citations
    Computer Science · Economics, Econometrics and Finance · Psychology · #Complex Systems and Time Series Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mental Health Research Topics #cs.LG
  16. TOFU: A Task of Fictitious Unlearning for LLMs
    2024/01/11 by Pratyush Maini, Zhili Feng, Maini, Pratyush +7 · 82 citations
    Computer Science · Health Professions · #Topic Modeling #Privacy-Preserving Technologies in Data #Interpreting and Communication in Healthcare
  17. Gradient Descent on Neural Networks Typically Occurs at the Edge of\n Stability
    2021/02/26 by Jeremy M. Cohen, Cohen, Jeremy M., Simran Kaur +7 · 52 citations
    Computer Science · Physics and Astronomy · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Model Reduction and Neural Networks
  18. Massive Activations in Large Language Models
    2024/02/27 by Ming-Jie Sun, Sun, Mingjie, Xinlei Chen +5 · 52 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  19. Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification
    2021/03/11 by Shiqi Wang, Huan Zhang, Wang, Shiqi +11 · 29 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. Differentiable MPC for End-to-end Planning and Control
    2018/10/31 by Brandon Amos, Amos, Brandon, Ivan Dario Jimenez Rodriguez +7 · 25 citations
    Computer Science · Engineering · Physics and Astronomy · #Advanced Control Systems Optimization #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
  21. Overfitting in adversarially robust deep learning
    2020/02/26 by Leslie Rice, Eric Wong, Rice, Leslie +3 · 27 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  22. Idiosyncrasies in Large Language Models
    2025/02/17 by Mingjie Sun, Ming-Jie Sun, Sun, Mingjie +9 · 6 voices · 10 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  23. Consistency Models Made Easy
    2024/06/20 by Geng, Zhengyang, Pokle, Ashwini, Luo, William +2 · 40 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. Learning Stable Deep Dynamics Models
    2020/01/17 by Gaurav Manek, J. Zico Kolter, Manek, Gaurav +1 · 13 citations
    Computer Science · Physics and Astronomy · #Anomaly Detection Techniques and Applications #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  25. Manifold Preserving Guided Diffusion
    2023/11/28 by He, Yutong, Murata, Naoki, Lai, Chieh-Hsin +8 · 22 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  26. Rethinking LLM Memorization through the Lens of Adversarial Compression
    2024/04/23 by Avi Schwarzschild, Schwarzschild, Avi, Zhili Feng +7 · 22 citations
    Computer Science · #Natural Language Processing Techniques
  27. Monotone operator equilibrium networks
    2020/06/15 by Ezra Winston, Winston, Ezra, J. Zico Kolter +1 · 11 citations
    Computer Science · Physics and Astronomy · #Machine Learning and ELM #Stochastic Gradient Optimization Techniques #Model Reduction and Neural Networks
  28. Multiscale Deep Equilibrium Models
    2020/06/15 by Shaojie Bai, Vladlen Koltun, Bai, Shaojie +3 · 10 citations
    Computer Science · Engineering · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Reinforcement Learning in Robotics #Reservoir Engineering and Simulation Methods
  29. Orthogonalizing Convolutional Layers with the Cayley Transform
    2021/04/14 by Asher Trockman, Trockman, Asher, J. Zico Kolter +1 · 10 citations
    Computer Science · Engineering · #Advancements in Semiconductor Devices and Circuit Design #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Physical Unclonable Functions (PUFs) and Hardware Security
  30. Uniform convergence may be unable to explain generalization in deep learning
    2019/02/13 by Vaishnavh Nagarajan, Nagarajan, Vaishnavh, J. Zico Kolter +1 · 9 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
  31. A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
    2022/06/12 by Samuel Sokota, Sokota, Samuel, Ryan D'Orazio +13 · 1 voice · 9 citations
    Computer Science · Decision Sciences · Social Sciences · #Experimental Behavioral Economics Studies #Game Theory and Applications #Reinforcement Learning in Robotics #cs.AI #cs.GT #cs.LG
  32. Patches Are All You Need?
    2022/01/24 by Asher Trockman, Trockman, Asher, Kolter, J. Zico · 10 citations
    Computer Science · Neuroscience · Engineering · #Advanced Neural Network Applications #Face Recognition and Perception #Advanced Memory and Neural Computing
  33. Gradient descent GAN optimization is locally stable
    2017/06/13 by Vaishnavh Nagarajan, Nagarajan, Vaishnavh, J. Zico Kolter +1 · 9 citations
    Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Generative Adversarial Networks and Image Synthesis #Lattice Boltzmann Simulation Studies
  34. One-Step Diffusion Distillation via Deep Equilibrium Models
    2023/12/12 by Zhengyang Geng, Geng, Zhengyang, Ashwini Pokle +3 · 14 citations
    Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Advanced Mathematical Modeling in Engineering
  35. Assessing Generalization of SGD via Disagreement
    2021/06/25 by Yiding Jiang, Jiang, Yiding, Vaishnavh Nagarajan +5 · 10 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Stochastic Gradient Optimization Techniques
  36. Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic
    2024/04/10 by Sachin Goyal, Goyal, Sachin, Pratyush Maini +7 · 15 citations
    Decision Sciences · #Big Data Technologies and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
  37. General Cutting Planes for Bound-Propagation-Based Neural Network Verification
    2022/08/11 by Zhang, Huan, Wang, Shiqi, Xu, Kaidi +5 · 10 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  38. On Proximal Policy Optimization's Heavy-tailed Gradients
    2021/02/20 by Saurabh Garg, Garg, Saurabh, Joshua Zhanson +15 · 8 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Stochastic Gradient Optimization Techniques
  39. Stabilizing Equilibrium Models by Jacobian Regularization
    2021/06/28 by Shaojie Bai, Bai, Shaojie, Vladlen Koltun +3 · 7 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Quantum many-body systems #Stochastic Gradient Optimization Techniques
  40. Scaling provable adversarial defenses
    2018/05/31 by Wong, Eric, Schmidt, Frank R., Metzen, Jan Hendrik +1 · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  41. Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models
    2024/08/19 by Aviv Bick, Kevin Y. Li, Bick, Aviv +7 · 14 citations
    Computer Science · Engineering · #Topic Modeling #Natural Language Processing Techniques #Reservoir Engineering and Simulation Methods
  42. Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
    2025/04/18 by Xu, Yixuan Even, Savani, Yash, Fang, Fei +1 · 25 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  43. A Continuous-Time View of Early Stopping for Least Squares
    2018/10/23 by Alnur Ali, Ali, Alnur, J. Zico Kolter +3 · 7 citations
    Engineering · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Random Matrices and Applications #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference
  44. Adversarial Robustness Against the Union of Multiple Perturbation Models
    2019/09/09 by Maini, Pratyush, Wong, Eric, Kolter, J. Zico · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  45. Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
    2020/02/07 by Rosenfeld, Elan, Winston, Ezra, Ravikumar, Pradeep +1 · 5 citations
    #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  46. Dojo: A Differentiable Physics Engine for Robotics
    2022/03/02 by Taylor A. Howell, Howell, Taylor A., Simon Le Cleac’h +7 · 6 citations
    Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Dynamics and Control of Mechanical Systems #Adhesion, Friction, and Surface Interactions
  47. Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
    2020/07/08 by Belbute-Peres, Filipe de Avila, Economon, Thomas D., Kolter, J. Zico · 5 citations
    #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  48. Permutation Equivariant Neural Functionals
    2023/02/27 by Allan Zhou, Zhou, Allan, Kaien Yang +12 · 7 citations
    Computer Science · #Neural Networks and Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning
  49. Can Neural Network Memorization Be Localized?
    2023/07/18 by Pratyush Maini, Michael C. Mozer, Maini, Pratyush +9 · 7 citations
    Computer Science · Physics and Astronomy · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  50. Deep Equilibrium Optical Flow Estimation
    2022/04/18 by Shaojie Bai, Zhengyang Geng, Bai, Shaojie +5 · 5 citations
    Computer Science · Engineering · #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Robotics and Sensor-Based Localization
  51. On the Importance of Exploration for Generalization in Reinforcement Learning
    2023/06/08 by Jiang, Yiding, Kolter, J. Zico, Raileanu, Roberta · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  52. (Certified!!) Adversarial Robustness for Free!
    2022/06/21 by Nicholas Carlini, Florian Tramèr, Carlini, Nicholas +6 · 5 citations
    Computer Science · Medicine · Engineering · #Adversarial Robustness in Machine Learning #COVID-19 diagnosis using AI #Advanced X-ray and CT Imaging
  53. Trellis Networks for Sequence Modeling
    2018/10/15 by Shaojie Bai, J. Zico Kolter, Bai, Shaojie +3 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  54. Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
    2019/02/21 by Eric Wong, Wong, Eric, Frank R. Schmidt +3 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  55. Safety Pretraining: Toward the Next Generation of Safe AI
    2025/04/23 by Pratyush Maini, Maini, Pratyush, Sachin Goyal +18 · 3 voices · 9 citations
    Health Professions · #cs.LG
  56. Learning perturbation sets for robust machine learning
    2020/07/16 by Eric Wong, J. Zico Kolter, Wong, Eric +1 · 6 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Bacillus and Francisella bacterial research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  57. Understanding Optimization in Deep Learning with Central Flows
    2024/10/31 by Jeremy M. Cohen, Alex Damian, Cohen, Jeremy M. +7 · 9 citations
    Decision Sciences · #Simulation Techniques and Applications
  58. Neural Functional Transformers
    2023/05/22 by Zhou, Allan, Yang, Kaien, Jiang, Yiding +5 · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  59. AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning
    2019/12/02 by Fathony, Rizal, Kolter, J. Zico · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  60. Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
    2024/10/15 by Yiding Jiang, Jiang, Yiding, Allan Zhou +7 · 8 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  61. OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics
    2025/06/14 by Vineeth Dorna, Dorna, Vineeth, Anmol Mekala +11 · 15 citations
    Computer Science · #Mathematics, Computing, and Information Processing #Natural Language Processing Techniques
  62. Deep Equilibrium Based Neural Operators for Steady-State PDEs
    2023/11/30 by Tanya Marwah, Ashwini Pokle, Marwah, Tanya +9 · 5 citations
    Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  63. Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters
    2024/11/05 by Li, Kevin Y., Goyal, Sachin, Semedo, Joao D. +1 · 7 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  64. DORO: Distributional and Outlier Robust Optimization
    2021/06/11 by Runtian Zhai, Dan Chen, Zhai, Runtian +5 · 3 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  65. Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition
    2025/07/28 by Andy Zou, Zou, Andy, Maxwell Lin +31 · 5 voices · 8 citations
    #cs.AI #cs.CL #cs.CY
  66. A Semismooth Newton Method for Fast, Generic Convex Programming
    2017/05/02 by Alnur Ali, Ali, Alnur, Eric Wong +3 · 2 citations
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Optimization and Control (math.OC) #Optimization and Variational Analysis #Sparse and Compressive Sensing Techniques
  67. Intelligent Pothole Detection and Road Condition Assessment
    2017/10/06 by Bhatt, Umang, Mani, Shouvik, Xi, Edgar +1 · 2 citations
    #Computers and Society (cs.CY) #FOS: Computer and information sciences
  68. Context-Parametric Inversion: Why Instruction Finetuning Can Worsen Context Reliance
    2024/10/14 by Goyal, Sachin, Baek, Christina, Kolter, J. Zico +1 · 7 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  69. Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners
    2025/02/27 by Paliotta, Daniele, Wang, Junxiong, Pagliardini, Matteo +6 · 8 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  70. Mimetic Initialization of Self-Attention Layers
    2023/05/16 by Asher Trockman, J. Zico Kolter, Trockman, Asher +1 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  71. Deep Archimedean Copulas
    2020/12/05 by Chun Kai Ling, Ling, Chun Kai, Fei Fang +3 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning in Healthcare #Time Series Analysis and Forecasting
  72. Characterizing Datapoints via Second-Split Forgetting
    2022/10/26 by Pratyush Maini, Maini, Pratyush, Saurabh Garg +5 · 3 citations
    Computer Science · #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI)
  73. Localized Text-to-Image Generation for Free via Cross Attention Control
    2023/06/26 by Yutong He, Ruslan Salakhutdinov, He, Yutong +3 · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications
  74. Understanding prompt engineering may not require rethinking generalization
    2023/10/06 by Victor Akinwande, Yiding Jiang, Akinwande, Victor +5 · 3 citations
    Computer Science · #AI-based Problem Solving and Planning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  75. Communicating via Markov Decision Processes
    2021/07/17 by Sokota, Samuel, de Witt, Christian Schroeder, Igl, Maximilian +6 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
  76. Adversarial Attacks on Robotic Vision Language Action Models
    2025/06/03 by Jones, Eliot Krzysztof, Robey, Alexander, Zou, Andy +5 · 9 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Robotics (cs.RO)
  77. TorchDEQ: A Library for Deep Equilibrium Models
    2023/10/28 by Zhengyang Geng, J. Zico Kolter, Geng, Zhengyang +1 · 3 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Topic Modeling
  78. Adversarially Robust Learning for Security-Constrained Optimal Power Flow
    2021/11/12 by Donti, Priya L., Agarwal, Aayushya, Bedmutha, Neeraj Vijay +2 · 2 citations
    #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering
  79. Reevaluating Policy Gradient Methods for Imperfect-Information Games
    2025/02/13 by Max Rudolph, Max Gustav Rudolph, Nathan Lichtlé +18 · 2 voices · 3 citations
    Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Simulation Techniques and Applications #cs.LG
  80. Superhuman AI for Stratego Using Self-Play Reinforcement Learning and Test-Time Search
    2025/11/10 by Samuel Sokota, Sokota, Samuel, Eugene Vinitsky +7 · 3 voices · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence in Games #Reinforcement Learning in Robotics #cs.AI #cs.LG
  81. Understanding the Covariance Structure of Convolutional Filters
    2022/10/07 by Asher Trockman, Trockman, Asher, Devin Willmott +3 · 2 citations
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  82. Antidistillation Sampling
    2025/04/17 by Savani, Yash, Trockman, Asher, Feng, Zhili +5 · 6 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  83. Contextually Supervised Source Separation with Application to Energy Disaggregation
    2013/12/18 by Wytock, Matt, Kolter, J. Zico · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  84. Single Image Backdoor Inversion via Robust Smoothed Classifiers
    2023/03/01 by Ming-Jie Sun, J. Zico Kolter, Sun, Mingjie +1 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences
  85. Improved Mean Flows: On the Challenges of Fastforward Generative Models
    2025/12/01 by Zhengyang Geng, Geng, Zhengyang, Yiyang Lu +9 · 2 voices · 8 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CV #cs.LG
  86. The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints
    2017/06/01 by Po-Wei Wang, Wei‐Cheng Chang, Wang, Po-Wei +3 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  87. Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
    2023/01/22 by Sokota, Samuel, D'Orazio, Ryan, Ling, Chun Kai +3 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  88. Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games
    2019/03/11 by Ling, Chun Kai, Fang, Fei, Kolter, J. Zico · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  89. The Limited Multi-Label Projection Layer
    2019/06/20 by Amos, Brandon, Koltun, Vladlen, Kolter, J. Zico · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  90. Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications
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    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  91. Community detection using fast low-cardinality semidefinite programming
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    Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  92. Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation
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    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  93. Prompt Recovery for Image Generation Models: A Comparative Study of Discrete Optimizers
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    Computer Science · #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques
  94. Mimetic Initialization Helps State Space Models Learn to Recall
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    Decision Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Simulation Techniques and Applications
  95. Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth
    2022/11/26 by Belbute-Peres, Filipe de Avila, Kolter, J. Zico · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  96. Existing Large Language Model Unlearning Evaluations Are Inconclusive
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    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  97. Predicting the Performance of Black-box LLMs through Follow-up Queries
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    Computer Science · #Computation and Language (cs.CL) #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG)
  98. T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
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    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  99. On the Joint Interaction of Models, Data, and Features
    2023/06/07 by Jiang, Yiding, Baek, Christina, Kolter, J. Zico · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  100. Compute-Optimal LLMs Provably Generalize Better With Scale
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    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  101. On the Neural Tangent Kernel of Equilibrium Models
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    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  102. HyperCLIP: Adapting Vision-Language models with Hypernetworks
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    Computer Science · #Semantic Web and Ontologies #Natural Language Processing Techniques
  103. Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line
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    Medicine · #Advanced MRI Techniques and Applications #Artificial Intelligence (cs.AI) #Cardiovascular Function and Risk Factors #Cardiovascular Health and Disease Prevention #FOS: Computer and information sciences #Machine Learning (cs.LG)
  104. Bayesian Neural Networks with Domain Knowledge Priors
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    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  105. Learning with Explanation Constraints
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    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  106. Challenging common interpretability assumptions in feature attribution explanations
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    Computer Science · #Adversarial Robustness in Machine Learning #Computers and Society (cs.CY) #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #I.5.1 #J.4 #K.4 #Machine Learning (cs.LG)
  107. Looking beyond the next token
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    Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  108. Finetuning CLIP to Reason about Pairwise Differences
    2024/09/15 by Dylan Sam, Sam, Dylan, Devin Willmott +5 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  109. D-REX: A Benchmark for Detecting Deceptive Reasoning in Large Language Models
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    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Software Engineering Research #Topic Modeling