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Pushmeet Kohli

  1. Quantum error correction below the surface code threshold
    2024/08/24 by Rajeev Acharya, Google Quantum AI and Collaborators, Laleh Aghababaie-Beni +257 · 20 voices · 315 citations
    Computer Science · #Quantum Computing Algorithms and Architecture #Advanced Data Storage Technologies #Quantum Information and Cryptography
  2. Analysing Mathematical Reasoning Abilities of Neural Models
    2019/04/02 by David Saxton, Edward Grefenstette, Saxton, David +5 · 4 voices · 46 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #AI-based Problem Solving and Planning
  3. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
    2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1393 citations
    #cs.CL #cs.AI
  4. Relational inductive biases, deep learning, and graph networks
    2018/06/04 by Peter W. Battaglia, Battaglia, Peter W., Jessica B. Hamrick +51 · 2 voices · 122 citations
    #cs.LG #cs.AI #stat.ML
  5. Accelerating scientific discovery with Co-Scientist
    2025/02/26 by Juraj Gottweis, Wei-Hung Weng, Wei‐Hung Weng +97 · 8 voices · 107 citations
    Decision Sciences · Biochemistry, Genetics and Molecular Biology · #Academic Publishing and Open Access #Genetics, Bioinformatics, and Biomedical Research #Scientific Computing and Data Management
  6. Highly accurate protein structure prediction with AlphaFold
    2021/07/15 by John Jumper, Richard Evans, Alexander Pritzel +31 · 1352 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · #Enzyme Structure and Function #Machine Learning in Bioinformatics #Protein Structure and Dynamics
  7. Advancing Mathematics Research with AI-Driven Formal Proof Search
    2026/05/21 by George Tsoukalas, Anton Kovsharov, Sergey Shirobokov +18 · 21 voices · 5 citations
    #cs.AI
  8. Graph Matching Networks for Learning the Similarity of Graph Structured Objects
    2019/04/29 by Yujia Li, Li, Yujia, Chenjie Gu +7 · 1 voice · 36 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Machine Learning in Materials Science #Topic Modeling #cs.LG #stat.ML
  9. Accurate structure prediction of biomolecular interactions with AlphaFold 3
    2024/05/08 by Josh Abramson, Jonas Adler, Jack Dunger +45 · 1 voice · 739 citations
    Biochemistry, Genetics and Molecular Biology · #Protein Structure and Dynamics
  10. КОМПЬЮТЕРНАЯ ТОМОГРАФИЯ – ОСНОВА ОПТИМИЗАЦИИ МИНИТОРАКОТОМНОГО ДОСТУПА
    2014/01/01 by Mihály Váradi, Stephen Anyango, Mandar Deshpande +27 · 227 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · #Enzyme Structure and Function #Machine Learning in Bioinformatics #Protein Structure and Dynamics
  11. Scalable watermarking for identifying large language model outputs
    2024/10/23 by Sumanth Dathathri, Abigail See, Sumedh Ghaisas +21 · 1 voice · 85 citations
    Computer Science · #Advanced Malware Detection Techniques #Topic Modeling #Internet Traffic Analysis and Secure E-voting
  12. Improved protein structure prediction using potentials from deep learning
    2020/01/15 by Andrew Senior, Andrew W. Senior, Richard Evans +18 · 98 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · #Enzyme Structure and Function #Plant biochemistry and biosynthesis #Protein Structure and Dynamics
  13. Mathematical discoveries from program search with large language models
    2023/12/14 by Bernardino Romera‐Paredes, Bernardino Romera-Paredes, Mohammadamin Barekatain +11 · 210 citations
    Computer Science · #Computability, Logic, AI Algorithms #Artificial Intelligence in Games #Algorithms and Data Compression
  14. Scaling and logic in the colour code on a superconducting quantum processor
    2024/12/18 by Nathan Lacroix, Lacroix, Nathan, Alexandre Bourassa +473 · 8 voices · 35 citations
    Computer Science · #Quantum Computing Algorithms and Architecture #Quantum-Dot Cellular Automata #Neural Networks and Reservoir Computing
  15. Discovery of Unstable Singularities
    2025/09/17 by Yongji Wang, Y. Wang, Wang, Yongji +45 · 8 voices · 3 citations
    Physics and Astronomy · Engineering · Computer Science · #math.AP #physics.flu-dyn
  16. Learning to superoptimize programs
    2016/11/06 by Rudy Bunel, Bunel, Rudy, Alban Desmaison +8 · 1 voice · 4 citations
    Computer Science · #Software Engineering Research #Software Reliability and Analysis Research #Software Testing and Debugging Techniques #cs.LG
  17. Scientific discovery in the age of artificial intelligence
    2023/08/02 by Hanchen Wang, Tianfan Fu, Yuanqi Du +32 · 114 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · #Cell Image Analysis Techniques #Genetics, Bioinformatics, and Biomedical Research #Machine Learning in Materials Science
  18. CLEVRER: CoLlision Events for Video REpresentation and Reasoning
    2019/10/03 by Kexin Yi, Yi, Kexin, Chuang Gan +11 · 58 citations
    Computer Science · #Multimodal Machine Learning Applications #Explainable Artificial Intelligence (XAI) #Human Pose and Action Recognition
  19. Effective gene expression prediction from sequence by integrating long-range interactions
    2021/10/01 by Žiga Avsec, Vikram Agarwal, Daniel Visentin +7 · 70 citations
    Biochemistry, Genetics and Molecular Biology · #Genomics and Chromatin Dynamics #Genomics and Phylogenetic Studies #RNA and protein synthesis mechanisms
  20. Highly accurate protein structure prediction for the human proteome
    2021/07/22 by Kathryn Tunyasuvunakool, Jonas Adler, Zachary Wu +30 · 73 citations
    Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #Protein Structure and Dynamics #RNA and protein synthesis mechanisms
  21. AlphaEvolve: A coding agent for scientific and algorithmic discovery
    2025/06/16 by Alexander Novikov, Novikov, Alexander, Nhat Vu +38 · 2 voices · 185 citations
    Decision Sciences · #Scientific Computing and Data Management
  22. A Corpus and Evaluation Framework for Deeper Understanding of\n Commonsense Stories
    2016/04/06 by Nasrin Mostafazadeh, Nathanael Chambers, Mostafazadeh, Nasrin +14 · 41 citations
    Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  23. Accurate proteome-wide missense variant effect prediction with AlphaMissense
    2023/09/19 by Jun Cheng, Guido Novati, Joshua Pan +13 · 87 citations
    Biochemistry, Genetics and Molecular Biology · #Genetic Associations and Epidemiology #Genomic variations and chromosomal abnormalities #Genomics and Rare Diseases
  24. Deep Convolutional Inverse Graphics Network
    2015/03/11 by Tejas D. Kulkarni, WILLIAM F. WHITNEY, Kulkarni, Tejas D. +5 · 58 citations
    Computer Science · #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Graphics (cs.GR) #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  25. De novo design of high-affinity protein binders with AlphaProteo
    2024/09/12 by Vinicius Zambaldi, Vinícius Zambaldi, Zambaldi, Vinicius +69 · 3 voices · 12 citations
    Biochemistry, Genetics and Molecular Biology · Medicine · #Advanced Biosensing Techniques and Applications #Monoclonal and Polyclonal Antibodies Research #Protein purification and stability #q-bio.BM
  26. Quantum Circuit Optimization with AlphaTensor
    2024/02/22 by Francisco J. R. Ruiz, Tuomas Laakkonen, Ruiz, Francisco J. R. +24 · 2 voices · 23 citations
    Computer Science · #Quantum Computing Algorithms and Architecture
  27. On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models
    2018/10/30 by Sven Gowal, Krishnamurthy Dvijotham, Gowal, Sven +15 · 57 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms #Fault Detection and Control Systems
  28. The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
    2019/04/26 by Jiayuan Mao, Chuang Gan, Mao, Jiayuan +7 · 41 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  29. Magnetic control of tokamak plasmas through deep reinforcement learning
    2022/02/16 by Jonas Degrave, F. Felici, Jonas Buchli +28 · 41 citations
    Physics and Astronomy · #Magnetic confinement fusion research
  30. Strong Generalization and Efficiency in Neural Programs
    2020/07/07 by Yujia Li, Li, Yujia, Felix Gimeno +5 · 2 voices
    Computer Science · Engineering · #Machine Learning and Algorithms #Reinforcement Learning in Robotics #Robot Manipulation and Learning #cs.AI #cs.LG #cs.NE #stat.ML
  31. Programmatically Interpretable Reinforcement Learning
    2018/04/06 by Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh +2 · 1 voice · 5 citations
    #cs.LG #cs.AI #cs.PL #stat.ML
  32. Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
    2018/10/04 by Kexin Yi, Jia-Jun Wu, Yi, Kexin +9 · 22 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  33. Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
    2017/02/28 by Jakob Foerster, Nantas Nardelli, Foerster, Jakob +11 · 26 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Smart Grid Energy Management #Smart Grid Security and Resilience
  34. AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data
    2025/07/29 by Christopher F. Brown, Brown, Christopher F., Michal R. Kazmierski +35 · 6 voices · 32 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CV #cs.LG
  35. Visual Storytelling
    2016/04/13 by Ting-Hao, Huang, Francis Ferraro +27 · 21 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Video Analysis and Summarization
  36. Доочистка биологически очищенных фенольных сточных вод методом коагуляции с использованием FeCl3·6H2O
    2009/01/01 by John Jumper, Richard Evans, Alexander Pritzel +35 · 14 citations
    Environmental Science · #Environmental and Industrial Safety
  37. Memory Bounded Deep Convolutional Networks
    2014/12/03 by Maxwell D. Collins, Collins, Maxwell D., Pushmeet Kohli +1 · 27 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques
  38. Batched Large-scale Bayesian Optimization in High-dimensional Spaces
    2017/06/05 by Zi Wang, Clement Gehring, Wang, Zi +5 · 16 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  39. Solving Mixed Integer Programs Using Neural Networks
    2020/12/23 by Vinod Nair, Sergey Bartunov, Nair, Vinod +35 · 24 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC)
  40. Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
    2020/10/07 by Sven Gowal, Chongli Qin, Gowal, Sven +7 · 22 citations
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Physical Unclonable Functions (PUFs) and Hardware Security
  41. Branch and Bound for Piecewise Linear Neural Network Verification
    2019/09/14 by Rudy Bunel, Bunel, Rudy, Jingyue Lu +9 · 15 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Formal Methods in Verification #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Software Testing and Debugging Techniques
  42. Generative models improve fairness of medical classifiers under distribution shifts
    2023/04/18 by Sofia Ira Ktena, Ktena, Ira, Olivia Wiles +20 · 22 citations
    Computer Science · Medicine · Biochemistry, Genetics and Molecular Biology · #AI in cancer detection #Colorectal Cancer Screening and Detection #Cancer Genomics and Diagnostics
  43. A Dual Approach to Scalable Verification of Deep Networks
    2018/03/17 by Krishnamurthy, Dvijotham, Robert Stanforth +7 · 22 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Physical Unclonable Functions (PUFs) and Hardware Security #Integrated Circuits and Semiconductor Failure Analysis
  44. AlphaFold Protein Structure Database and 3D-Beacons: New Data and Capabilities
    2025/01/29 by Jennifer Fleming, Paulyna Magaña, Paulyna Magana +21 · 40 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · #Protein Structure and Dynamics #Enzyme Structure and Function #Machine Learning in Bioinformatics
  45. TORAX: A Fast and Differentiable Tokamak Transport Simulator in JAX
    2024/06/10 by J. Citrin, Jonathan Citrin, Citrin, Jonathan +29 · 2 voices · 5 citations
    Physics and Astronomy · Engineering · #physics.plasm-ph
  46. Learning Disentangled Representations with Semi-Supervised Deep Generative Models
    2017/06/01 by Siddharth, N., Brooks Paige, Jan-Willem van de Meent +12 · 13 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  47. Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
    2019/11/08 by Po-Sen Huang, Huan Zhang, Huang, Po-Sen +15 · 11 citations
    Computer Science · Social Sciences · #Computation and Language (cs.CL) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Machine Learning (cs.LG) #Topic Modeling
  48. Contrastive Training for Improved Out-of-Distribution Detection
    2020/07/10 by Jim Winkens, Rudy Bunel, Winkens, Jim +22 · 13 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) #Machine Learning and Data Classification
  49. Advancing Conversational Diagnostic AI with Multimodal Reasoning
    2025/05/06 by Khaled Saab, Saab, Khaled, Jan Freyberg +73 · 3 voices · 9 citations
    Computer Science · #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) #cs.AI #cs.CL #cs.CV #cs.LG
  50. CSLib: The Lean Computer Science Library
    2026/02/04 by Clark Barrett, Swarat Chaudhuri, Fabrizio Montesi +5 · 5 voices
    #cs.LO #cs.PL
  51. Are Labels Required for Improving Adversarial Robustness?
    2019/05/31 by Jonathan Uesato, Uesato, Jonathan, Jean-Baptiste Alayrac +9 · 12 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  52. A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
    2019/05/30 by Simon Köhl, Kohl, Simon A. A., Bernardino Romera‐Paredes +13 · 9 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #AI in cancer detection #Cell Image Analysis Techniques #Generative Adversarial Networks and Image Synthesis
  53. Neuro-Symbolic Program Synthesis
    2016/11/06 by Emilio Parisotto, Abdelrahman Mohamed, Parisotto, Emilio +9 · 6 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Oil and Gas Production Techniques #Programming Languages (cs.PL) #Software Engineering Research #Software Testing and Debugging Techniques
  54. TerpreT: A Probabilistic Programming Language for Program Induction
    2016/08/15 by Alexander L. Gaunt, Marc Brockschmidt, Gaunt, Alexander L. +11 · 9 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Software Engineering Research #Software Reliability and Analysis Research #Software Testing and Debugging Techniques
  55. Autoencoding Variational Autoencoder
    2020/12/07 by Ali Taylan Cemgil, Cemgil, A. Taylan, Sumedh Ghaisas +7 · 5 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  56. Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
    2019/09/03 by Po-Sen Huang, Robert Stanforth, Huang, Po-Sen +13 · 5 citations
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  57. AI co-mathematician: Accelerating mathematicians with agentic AI
    2026/05/07 by Daniel Zheng, Ingrid von Glehn, Yori Zwols +15 · 6 voices · 2 citations
    #cs.AI
  58. Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
    2020/10/22 by Sumanth Dathathri, Dathathri, Sumanth, Krishnamurthy Dvijotham +19 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms #Physical Unclonable Functions (PUFs) and Hardware Security
  59. Rigorous Agent Evaluation: An Adversarial Approach to Uncover\n Catastrophic Failures
    2018/12/04 by Jonathan Uesato, Uesato, Jonathan, Ananya Kumar +15 · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI)
  60. Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
    2017/03/06 by Zi Wang, Wang, Zi, Chengtao Li +5 · 3 citations
    Computer Science · Materials Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Machine Learning in Materials Science #Optimization and Control (math.OC)
  61. Can Neural Networks Understand Logical Entailment?
    2018/02/23 by David Saxton, Evans, Richard, Amos David +6 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
  62. SynthID-Image: Image watermarking at internet scale
    2025/10/10 by Sven Gowal, Gowal, Sven, Rudy Bunel +53 · 3 voices · 3 citations
    Computer Science · #Advanced Steganography and Watermarking Techniques #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Digital Media Forensic Detection #FOS: Computer and information sciences #cs.AI #cs.CR
  63. Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
    2016/11/13 by Tarun Kathuria, Kathuria, Tarun, Amit Deshpande +3 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms
  64. AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence model
    2025/06/27 by Žiga Avsec, Natasha S. Latysheva, Jun Cheng +24 · 3 voices · 8 citations
    Biochemistry, Genetics and Molecular Biology · #Genomics and Chromatin Dynamics #Genomics and Phylogenetic Studies #RNA and protein synthesis mechanisms
  65. SensorLM: Learning the Language of Wearable Sensors
    2025/06/10 by Yuwei Zhang, Zhang, Yuwei, Kumar Ayush +37 · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Context-Aware Activity Recognition Systems #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  66. Inverse Graphics with Probabilistic CAD Models
    2014/07/04 by Tejas D. Kulkarni, Kulkarni, Tejas D., Vikash K. Mansinghka +5 · 1 voice · 1 citation
    Computer Science · #Advanced Vision and Imaging #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #cs.AI #cs.CV #stat.ML
  67. Neural Program Meta-Induction
    2017/10/11 by Jacob Devlin, Rudy Bunel, Devlin, Jacob +7 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  68. LSM-2: Learning from Incomplete Wearable Sensor Data
    2025/06/05 by Maxwell A. Xu, Xu, Maxwell A., Girish Narayanswamy +47 · 6 citations
    Computer Science · Engineering · #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Non-Invasive Vital Sign Monitoring
  69. Verification of deep probabilistic models
    2018/12/06 by Krishnamurthy Dvijotham, Marta Garnelo, Dvijotham, Krishnamurthy +5 · 1 citation
    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)
  70. Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation
    2023/11/30 by Ryutaro Tanno, David G. T. Barrett, Tanno, Ryutaro +46 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Topic Modeling #electronic engineering #information engineering
  71. Lagrangian Decomposition for Neural Network Verification
    2020/02/24 by Rudy Bunel, Bunel, Rudy, Alessandro De Palma +11 · 2 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Advanced Memory and Neural Computing
  72. An Alternative Surrogate Loss for PGD-based Adversarial Testing
    2019/10/21 by Sven Gowal, Gowal, Sven, Jonathan Uesato +9 · 2 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  73. Inducing Interpretable Representations with Variational Autoencoders
    2016/11/22 by Brooks Paige, Siddharth, N., Paige, Brooks +12 · 1 citation
    Computer Science · #Topic Modeling #Generative Adversarial Networks and Image Synthesis #Machine Learning in Healthcare
  74. Meta-Learning surrogate models for sequential decision making
    2019/03/28 by Alexandre Galashov, Jonathan Schwarz, Galashov, Alexandre +13 · 1 citation
    Computer Science · Decision Sciences · #Adversarial Robustness in Machine Learning #Advanced Bandit Algorithms Research #Machine Learning and Data Classification
  75. Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs
    2021/06/26 by Dan Rosenbaum, Marta Garnelo, Rosenbaum, Dan +23 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Materials Science · Physics and Astronomy · #Advanced Electron Microscopy Techniques and Applications #Computational Engineering #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Finance #Force Microscopy Techniques and Applications #Image and Video Processing (eess.IV) #and Science (cs.CE) #electronic engineering #information engineering
  76. Training Generative Adversarial Networks by Solving Ordinary Differential Equations
    2020/10/28 by Chongli Qin, Qin, Chongli, Yan Wu +11 · 1 citation
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  77. Optimal Coalition Structures in Cooperative Graph Games
    2011/08/26 by Yoram Bachrach, Pushmeet Kohli, Bachrach, Yoram +5 · 1 citation
    Decision Sciences · Economics, Econometrics and Finance · #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Game Theory and Applications #Game Theory and Voting Systems #Multiagent Systems (cs.MA)
  78. Time-Sensitive Bayesian Information Aggregation for Crowdsourcing\n Systems
    2015/10/21 by Matteo Venanzi, Venanzi, Matteo, John Guiver +4 · 1 citation
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Transportation Planning and Optimization
  79. A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic
    2026/03/09 by Peter Brodeur, Jacob M. Koshy, Anil Palepu +45 · 2 voices · 1 citation
    Computer Science · #cs.HC #cs.AI #cs.CL #cs.LG
  80. DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding
    2016/03/16 by Yinda Zhang, Mingru Bai, Zhang, Yinda +7 · 1 citation
    Computer Science · Engineering · #Human Pose and Action Recognition #Robotics and Sensor-Based Localization #Advanced Neural Network Applications