vix.ing · top · new · best · stats · spec

Yarin Gal

  1. Dynamic / ME-JEPA v2.0.0-rc1: Audited World-Model Runtime and Verified Training-Corpus Artifact
    Recursive training on model-generated data causes generative models to lose information about rare events and eventually collapse into inaccurate outputs.
    2023/05/27 by Ilia Shumailov, Shumailov, Ilia, Zakhar Shumaylov +9 · 59 voices · 59 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Computational Physics and Python Applications
  2. A Definition of AGI
    2025/10/21 by Dan Hendrycks, Dawn Song, Hendrycks, Dan +65 · 28 voices · 10 citations
    Psychology · Computer Science · #Cognitive Abilities and Testing #Computability, Logic, AI Algorithms #Cognitive Computing and Networks
  3. Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples
    2025/10/08 by Alexandra Souly, Souly, Alexandra, Javier Rando +25 · 34 voices · 18 citations
    Medicine · #Medical Imaging and Pathology Studies
  4. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
    2015/06/06 by Yarin Gal, Gal, Yarin, Zoubin Ghahramani +1 · 1 voice · 550 citations
    Computer Science · Mathematics · Physics and Astronomy · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Model Reduction and Neural Networks #cs.LG #stat.ML
  5. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
    2017/03/15 by Alex Kendall, Yarin Gal, Kendall, Alex +1 · 287 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Data Classification
  6. AI models collapse when trained on recursively generated data
    2024/07/24 by Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao +3 · 6 voices · 157 citations
    Computer Science · #Topic Modeling #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning
  7. Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry\n and Semantics
    2017/05/19 by Alex Kendall, Kendall, Alex, Yarin Gal +3 · 181 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Human Pose and Action Recognition
  8. Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
    2023/02/19 by Lorenz Kuhn, Kuhn, Lorenz, Yarin Gal +3 · 99 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Explainable Artificial Intelligence (XAI)
  9. Deep Bayesian Active Learning with Image Data
    2017/03/08 by Yarin Gal, Gal, Yarin, Riashat Islam +3 · 44 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  10. BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
    2019/06/19 by Andreas Kirsch, Joost van Amersfoort, Kirsch, Andreas +3 · 33 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  11. VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
    2019/10/18 by Luisa Zintgraf, Kyriacos Shiarlis, Zintgraf, Luisa +11 · 1 voice · 10 citations
    Computer Science · Mathematics · #Domain Adaptation and Few-Shot Learning #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #cs.LG #stat.ML
  12. Deep Deterministic Uncertainty: A Simple Baseline
    2021/02/23 by Jishnu Mukhoti, Mukhoti, Jishnu, Andreas Kirsch +7 · 33 citations
    Engineering · Computer Science · Materials Science · #Fault Detection and Control Systems #Machine Learning and Algorithms #Machine Learning in Materials Science
  13. AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
    2024/10/11 by Maksym Andriushchenko, Alexandra Souly, Andriushchenko, Maksym +25 · 55 citations
    Computer Science · #Blockchain Technology Applications and Security
  14. Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs
    2024/06/22 by Jannik Kossen, Jiatong Han, Kossen, Jannik +9 · 43 citations
    Computer Science · #Digital Media Forensic Detection #Anomaly Detection Techniques and Applications
  15. Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
    2020/06/26 by Angelos Filos, Filos, Angelos, Tigas, Panagiotis +8 · 16 citations
    Engineering · #Mining Techniques and Economics #Transportation and Mobility Innovations #Advanced Manufacturing and Logistics Optimization
  16. Open Problems in Machine Unlearning for AI Safety
    2025/01/09 by Fazl Barez, Tingchen Fu, Barez, Fazl +39 · 6 voices · 9 citations
    Engineering · #Fault Detection and Control Systems
  17. Understanding Measures of Uncertainty for Adversarial Example Detection
    2018/03/22 by Lewis Smith, Smith, Lewis, Yarin Gal +1 · 14 citations
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
    2024/05/30 by Alexander V. Nikitin, Jannik Kossen, Nikitin, Alexander +5 · 28 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  19. LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?
    2023/07/20 by David Glukhov, D. O. Glukhov, Glukhov, David +8 · 1 voice · 6 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling #cs.AI #cs.CL #cs.CR #cs.LG
  20. Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval
    2022/05/27 by Pascal Notin, Notin, Pascal, Mafalda Dias +11 · 19 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Genomics and Phylogenetic Studies #Genetics, Bioinformatics, and Biomedical Research #Evolutionary Algorithms and Applications
  21. Fine-tuning can cripple your foundation model; preserving features may be the solution
    2023/08/25 by Jishnu Mukhoti, Mukhoti, Jishnu, Yarin Gal +5 · 16 citations
    Engineering · Computer Science · #BIM and Construction Integration #Power Systems and Technologies #Model-Driven Software Engineering Techniques
  22. Inferring the effectiveness of government interventions against COVID-19
    2020/12/16 by Jan Brauner, Sören Mindermann, Mrinank Sharma +16 · 14 citations
    Economics, Econometrics and Finance · Mathematics · Psychology · #COVID-19 Pandemic Impacts #COVID-19 and Mental Health #COVID-19 epidemiological studies
  23. Active Testing: Sample-Efficient Model Evaluation
    2021/03/09 by Jannik Kossen, Kossen, Jannik, Sebastian Farquhar +5 · 10 citations
    Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  24. Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
    2018/11/30 by Jishnu Mukhoti, Yarin Gal, Mukhoti, Jishnu +1 · 10 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning and Data Classification #Topic Modeling
  25. How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions
    2023/09/26 by Lorenzo Pacchiardi, Pacchiardi, Lorenzo, Alex Chan +13 · 13 citations
    Computer Science · Psychology · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Deception detection and forensic psychology #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  26. On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty
    2021/02/22 by Joost van Amersfoort, van Amersfoort, Joost, Lewis Smith +7 · 11 citations
    Computer Science · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Machine Learning and Data Classification
  27. Dropout Inference in Bayesian Neural Networks with Alpha-divergences
    2017/03/08 by Yingzhen Li, Yarin Gal, Li, Yingzhen +1 · 9 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Gaussian Processes and Bayesian Inference #Anomaly Detection Techniques and Applications
  28. Invariant Causal Prediction for Block MDPs
    2020/03/12 by Amy Zhang, Clare Lyle, Zhang, Amy +13 · 7 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  29. In-Context Learning Learns Label Relationships but Is Not Conventional Learning
    2023/07/23 by Jannik Kossen, Yarin Gal, Kossen, Jannik +3 · 9 citations
    Psychology · Social Sciences · #Innovative Teaching and Learning Methods #Problem and Project Based Learning
  30. Plex: Towards Reliability using Pretrained Large Model Extensions
    2022/07/15 by Dustin Tran, Tran, Dustin, Jeremiah Liu +49 · 7 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Domain Adaptation and Few-Shot Learning
  31. Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning
    2021/06/07 by Zachary Nado, Neil Band, Nado, Zachary +49 · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  32. A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks
    2019/12/22 by Angelos Filos, Filos, Angelos, Sebastian Farquhar +15 · 7 citations
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Retinal Imaging and Analysis #electronic engineering #information engineering
  33. Estimating the Hallucination Rate of Generative AI
    2024/06/11 by Andrew Jesson, Jesson, Andrew, Nicolas Beltran-Velez +13 · 1 voice · 5 citations
    #cs.LG #stat.ML
  34. Uncertainty Quantification with Statistical Guarantees in End-to-End\n Autonomous Driving Control
    2019/09/21 by Rhiannon Michelmore, Michelmore, Rhiannon, Matthew Wicker +9 · 3 citations
    Engineering · Computer Science · #Autonomous Vehicle Technology and Safety #Adversarial Robustness in Machine Learning #Bayesian Modeling and Causal Inference
  35. Tractable Function-Space Variational Inference in Bayesian Neural Networks
    2023/12/28 by Tim G. J. Rudner, Zonghao Chen, Rudner, Tim G. J. +5 · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI)
  36. Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks
    2022/11/23 by Neil Band, Band, Neil, Tim G. J. Rudner +15 · 4 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Retinal Imaging and Analysis
  37. Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition
    2025/07/28 by Andy Zou, Maxwell Lin, Zou, Andy +31 · 5 voices · 8 citations
    #cs.AI #cs.CL #cs.CY
  38. Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities
    2025/02/03 by Zora Che, Che, Zora, Stephen Casper +27 · 10 citations
    Computer Science · #Security and Verification in Computing #Advanced Malware Detection Techniques #Network Security and Intrusion Detection
  39. Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
    2021/11/03 by Andrew Jesson, Jesson, Andrew, Panagiotis Tigas +9 · 3 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Statistical Methods and Inference
  40. Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction
    2025/06/10 by Ruben Weitzman, Peter Mørch Groth, Weitzman, Ruben +13 · 4 voices · 3 citations
    Biochemistry, Genetics and Molecular Biology · #Genomics and Phylogenetic Studies #Protein Structure and Dynamics #Bioinformatics and Genomic Networks
  41. Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs
    2025/08/08 by Kyle O’Brien, Kyle O'Brien, O'Brien, Kyle +18 · 2 voices · 13 citations
    Computer Science · Social Sciences · #cs.LG #cs.AI
  42. Measuring what Matters: Construct Validity in Large Language Model Benchmarks
    2025/11/03 by Andrew M. Bean, Bean, Andrew M., Angelika Romanou +78 · 10 citations
    Computer Science · Medicine · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Topic Modeling
  43. Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors
    2024/04/04 by Angus Nicolson, Lisa Schut, Nicolson, Angus +5 · 4 citations
    Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Data Visualization and Analytics #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #I.2.6 #Machine Learning (cs.LG)
  44. Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe
    2021/10/05 by Mrinank Sharma, Sören Mindermann, Darren Smith +21 · 1 voice · 2 citations
    Economics, Econometrics and Finance · Mathematics · Social Sciences · #COVID-19 Pandemic Impacts #COVID-19 epidemiological studies #Vaccine Coverage and Hesitancy
  45. Deep Bayesian Active Learning for Preference Modeling in Large Language Models
    2024/06/14 by Luckeciano C. Melo, Melo, Luckeciano C., Panagiotis Tigas +5 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Natural Language Processing Techniques #Topic Modeling
  46. Continual Learning via Sequential Function-Space Variational Inference
    2023/12/28 by Tim G. J. Rudner, Freddie Bickford Smith, Rudner, Tim G. J. +7 · 3 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning in Healthcare #Gaussian Processes and Bayesian Inference
  47. Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
    2024/05/09 by Gunshi Gupta, Karmesh Yadav, Gupta, Gunshi +11 · 3 citations
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Machine Learning in Healthcare #Neural Networks and Applications
  48. BRUNO: A Deep Recurrent Model for Exchangeable Data
    2018/02/21 by Iryna Korshunova, Jonas Degrave, Korshunova, Iryna +9 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Machine Learning in Healthcare
  49. Dropout as a Bayesian Approximation: Appendix
    2015/06/06 by Yarin Gal, Zoubin Ghahramani, Gal, Yarin +1 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Simulation Techniques and Applications
  50. Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations
    2020/02/10 by Sebastian Farquhar, Lewis Smith, Farquhar, Sebastian +3 · 2 citations
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
  51. Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
    2024/08/10 by Yoav Gelberg, Gelberg, Yoav, Tycho F. A. van der Ouderaa +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Bayesian Modeling and Causal Inference
  52. Speedy Performance Estimation for Neural Architecture Search
    2020/06/08 by Binxin Ru, Ru, Binxin, Clare Lyle +9 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification
  53. Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy
    2024/10/22 by Benedict Aaron Tjandra, Tjandra, Benedict Aaron, Muhammed Razzak +7 · 2 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  54. Existing Large Language Model Unlearning Evaluations Are Inconclusive
    2025/05/31 by Zhili Feng, Feng, Zhili, Ye Xu +13 · 4 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  55. BatchGFN: Generative Flow Networks for Batch Active Learning
    2023/06/26 by Shreshth A. Malik, Salem Lahlou, Malik, Shreshth A. +13 · 1 citation
    Computer Science · Physics and Astronomy · #Machine Learning and Algorithms #Neural Networks and Applications #Model Reduction and Neural Networks
  56. ToolTweak: An Attack on Tool Selection in LLM-based Agents
    2025/10/02 by Jonathan Sneh, Ruomei Yan, Sneh, Jonathan +15 · 3 citations
    Computer Science · #Advanced Malware Detection Techniques #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Security and Verification in Computing #Web Application Security Vulnerabilities
  57. TextCAVs: Debugging vision models using text
    2024/08/16 by Angus Nicolson, Nicolson, Angus, Yarin Gal +3 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #I.2.1 #I.2.6 #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  58. FindingDory: A Benchmark to Evaluate Memory in Embodied Agents
    2025/06/18 by Karmesh Yadav, Yusuf Ali, Yadav, Karmesh +7 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Robotics (cs.RO)
  59. Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning
    2025/10/22 by Karmesh Yadav, Gupta, Gunshi, Zsolt Kira +6 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Robotics (cs.RO)