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1 paper in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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Latest papers 19

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  1. A Deterministic and Auditable AI Security Risk Assessment Framework with ATLAS Aligned Executable Rules and Formal Verification

    Oct 1, 2026Yixuan Huang, Basel Halak, Boojoong KangArtificial Intelligence RiskSecurity Evaluation

    University of Southampton, Southampton, UK

  2. Beyond Gradient Flow: Identifiability and Recovery from Distribution Snapshots

    Sep 28, 2026Nam D. Nguyen, Valeriya MalyshevaFokker--Planck EquationSnapshots

    VIB, Center for Molecular Neurology, Antwerp, Belgium · VIB, Center for AI and Computational Biology, Leuven, Belgium · Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Antwerp, Belgium +2

  3. DisKO: Deep Koopman Learning in Distribution Space from Unpaired Snapshots

    Sep 28, 2026He Ma, Xiaochen Liu, Wanfeng Lu +3Koopman OperatorLearning Dynamics

    School of Mathematical Sciences, Fudan University, China. · Research Institute of Intelligent Complex Systems, Fudan University, China. · Shanghai Center for Mathematical Sciences, Fudan University, China. +2

  4. KoopCell: Koopman-Based Generative Model for Learning Single-Cell Dynamics from Distribution Snapshots

    Sep 27, 2026Wanfeng Lu, Yutong Zhang, Keyi Zhou +3Koopman OperatorSnapshots

    School of Mathematical Sciences, SCMS, SCAM, and CCSB, Fudan University, China · Research Institute of Intelligent Complex Systems, Fudan University, China · State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, China +1

  5. Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues

    Aug 11, 2026Hesam Araghi, Jan van Gemert, Nergis TomenOptical FlowMotion

    Computer Vision Lab, Delft University of Technology

  6. What Could the Agent See at 19:05? Generating Temporal Enterprise Scenarios from Real Research and Replaying Them to Evaluate Agents

    Aug 2, 2026Tezan Sahu, Himani AroraAgentic EvaluationsSnapshots

    Microsoft Hyderabad, India

  7. CA-DGCL: Dynamic Graph Continual Learning via Condensation and Attachment

    Jul 13, 2026Tingxu Yan Ye YuanReplay-Based Continual LearningCatastrophic Forgetting

    1Tingxu Yan and Ye Yuan* are with the College of Computer and Information Science, Southwest University, Chongqing 400715, China

  8. GitLake: Git-for-data for the agentic lakehouse

    Jul 9, 2026Weiming Sheng, Jinlang Wang, Manuel Barros +3Large DatabasesData Lakes

    Bauplan Labs USA

  9. Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets

    Jun 29, 2026Ali Ramlaoui, Daniel T. Speckhard, Sagar Pal +3Molecular DynamicsModel Training

    Entalpic, Paris, France · Universit´e Paris-Saclay, CentraleSup´elec, Inria, Gif-sur-Yvette, France

  10. Benchmarking Open-Source Layout Detection Models for Data Snapshot Extraction from Institutional Documents

    Jun 4, 2026AJ Carl P. Dy, Aivin V. SolatorioSnapshots

    Development Data Group Office of the World Bank Group Chief Statistician The World Bank 1818 H Street N.W., Washington, 20433 District of Columbia, USA

  11. S3^3LDBO: A Snapshot Single-Loop Algorithm for Decentralized Bilevel Optimization

    May 29, 2026Chao Yin, Youran Dong, Shiqian Ma +2Bilevel OptimizationMeta-Learning

    School of Mathematics, Hohai University, Nanjing, P. R. China · School of Mathematics, Nanjing University, Nanjing, P. R. China · Department of Computational Applied Mathematics and Operations Research, Rice University, Houston, USA

  12. SiST-GNN: Simultaneous Spatial-Temporal Message Passing for Dynamic Graph Representation Learning

    May 25, 2026Shubhajit Roy, Anirban DasguptaTemporal Graph Neural NetworksGnn-Based Detectors

    Department of Computer Science and Engineering Indian Institute of Technology Gandhinagar

  13. Snapshot Polarimetric Display Inverse Rendering

    May 24, 2026Seokjun Choi, Yunseong Moon, Kaizhang Kang +4Inverse RenderingSnapshots

    1POSTECH, South Korea · 2Meta, USA

  14. Learning Individual Dynamics from Sparse Cross-Sectional Snapshots

    May 22, 2026Christian Lagemann, Kai Lagemann, Steven L. Brunton +1Patient TrajectoriesSnapshots

    Statistics and Machine Learning, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany · MediaTek Research, London, United Kingdom · Department of Mechanical Engineering & AI Institute in Dynamic Systems, University of Washington, Seattle, United States +1

  15. From Snapshots to Trajectories: Learning Single-Cell Gene Expression Dynamics via Conditional Flow Matching

    May 21, 2026Siyu Pu, Qingqing Long, Xiaohan Huang +7Single-Cell RnaConditional Flow Matching

    Computer Network Information Center, Chinese Academy of Sciences · University of California, Los Angeles

  16. Backbone-Equated Diffusion OOD via Sparse Internal Snapshots

    May 10, 2026Yadang Alexis Rouzoumka, Jean Pinsolle, Eugénie Terreaux +3Out-Of-Distribution DetectionFrozen Backbone

    DEMR, ONERA & SONDRA · Université Paris-Saclay · SONDRA, CentraleSupélec +1

  17. A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots

    May 8, 2026Vincent Guan, Lazar Atanackovic, Kirill NeklyudovLagrangian MethodsPopulation Dynamics

    University of British Columbia · Mila - Quebec AI Institute · University of Alberta +4

  18. Beyond Static Snapshots: A Grounded Evaluation Framework for Language Models at the Agentic Frontier

    Apr 19, 2026Jazmia HenryLarge Language Model EvaluationMulti-Dimensional Evaluation

    University of Oxford

  19. Beyond Pixels: Exploring DOM Downsampling for LLM-Based Web Agents

    Aug 6, 2025Thassilo M. Schiepanski, Nicholas PiëlWeb AgentsSnapshots

    Surfly BV