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9 papers in the last four weeks, up 29% on the four weeks before. 0.1% of all new papers.

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  1. Participation-Sensitive Convergence and the Fragment First, Converge Later Pattern in Asynchronous Online Learning: A Topological Analysis Across 22 OULAD Courses

    Oct 1, 2026Hitoshi Inoue, Koichi YasutakeParticipationCohort

    Nakamura Gakuen University, Japan · Hiroshima University, Japan

  2. Challenges and Solutions for Bandits in the Wild: Warm-Started Mixture Bandits for Cross-Cohort Slate Recommendation

    Sep 29, 2026Serafima Lebedeva, Sumantrak Mukherjee, Ali Arshad Sadal +8RecommendationBandits

    German Research Center for Artificial Intelligence (DFKI), Kaiserslautern · RPTU, Kaiserslautern-Landau · LMU, Munich

  3. Evaluating the Generalization of Neuroimaging Foundation Models on African Brain MRI

    Sep 21, 2026Oluwatobi Iyanuoluwa Akinmuleya, Olatokun Shamsudeen Akano, Samuel Danquah Ankapong +2Multimodal NeuroimagingMagnetic Resonance Imaging

    Department of Medicine, Shenyang Medical College, Shenyang, China · College of Medicine, University of Ibadan, Ibadan, Nigeria · University of Ghana, Accra, Ghana +2

  4. Should This Case Be Adapted? Prediction Fragmentation Controls Test-Time Adaptation

    Sep 17, 2026Lili Wang, Jing Li, Xiaowen Sun +5Test-Time AdaptationFragmentation

  5. Interpretable Multi-Instance Learning Enables Early Prediction of Key Molecular Alterations from Routine Flow Cytometry in Acute Myeloid Leukemia

    Sep 16, 2026Jonathan Legrand, Aguirre Mimoun, Baudouin Denis de Senneville +3Acute Myeloid LeukemiaMultiple Instance Learning

    IMB, MONC · Univ. Bordeaux, CNRS, Inria, Bordeaux INP, IMB, UMR 5251, F-33400 Talence, France · CHU Bordeaux +5

  6. After the Party: Growth, Governance, and Security Scanning in the OpenClaw Agent Skill Ecosystem

    Sep 15, 2026Yunpeng Xiong, Ting ZhangOpenclawReusable Agent Skills

    Monash University, Australia

  7. Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation

    Sep 15, 2026Aniketh Vijesh, Shrisharanyan Vasu, Abhijit Ramesh +5EchocardiographyCardiac

    Amrita Vishwa Vidyapeetham, India · Amrita Institute of Medical Sciences and Research Centre, Amrita Vishwa Vidyapeetham, Kochi, Kerala, India

  8. Evaluating Model Retraining under Drift: Paired Comparisons of Cumulative Subgroup Disparity

    Sep 9, 2026Aaron CerossSubgroupsRetraining

    Birmingham Law School, University of Birmingham

  9. Attributing Cohen's d: Training Data Attribution for Disease-Related Effects in Normative Age Biomarkers

    Sep 7, 2026Jakob Snel, Marc-Andre SchulzVascular AgeCohort

    Hertie Institute for AI in Brain Health, University of Tübingen, Tübingen, Germany · Tübingen AI Center, University of Tübingen, Tübingen, Germany · Department of Psychiatry and Neurosciences, Charité – Universitätsmedizin Berlin, Berlin, Germany +1

  10. PhenoBench: Mapping What a Deeply Phenotyped Human Cohort Can Tell Us

    Sep 5, 2026Gal Sapir, Alon Diament, Adva Wolf +7PhenotypesCohort

    Pheno.AI, Tel Aviv, Israel · Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel · Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel +1

  11. Conditional Flow Matching for Cross-Field MRI Harmonisation

    Sep 1, 2026Baris Imre, Aram Salehi, Levente Baljer +3Magnetic Resonance ImagingConditional Flow Matching

    Division of Image Processing, Department of Radiology, Leiden University Medical Center · Department of Human Genetics, Radboud University Medical Center · Department of Radiology, Leiden University Medical Center +2

  12. Ready Cohorts: Bounding GPU Opportunity and Avoiding Host Round Trips in LLM-Agent Control

    Aug 12, 2026Josef Liyanjun ChenCpu-Gpu Hybrid DesignsCohort

    Independent Researcher

  13. Flow-based conditional cardiac anatomy generation for virtual cohorts

    Aug 10, 2026Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit +4End-To-End 4D Heart Mesh Recovery Across Full-StackCardiac Motion

    Dept. BioMechanical Engineering, Delft University of Technology, Delft, The Netherlands · Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA · BioMMeda – Institute for Biomedical Engineering and Technology, Ghent University, Ghent, Belgium +2

  14. FemWear: A Parameter-Efficient Wearable Foundation Model for Women's Health

    Aug 8, 2026Yifan Wang, Chenzhong LiWearable PhysiologyWireless Foundation Models

    The Chinese University of Hong Kong, Shenzhen

  15. CohortHijack: Robustness of Single Cell Annotation to Companion Cell Removal

    Aug 6, 2026Arash Vashagh, Yasmin VashaghCellsCohort

    Faculty of Computer Science, University of New Brunswick, Fredericton, New Brunswick E3B 5A3, Canada · Farzanegan Amin 2 High School, Isfahan, Iran

  16. From Continuous Predictors to Clinical Thresholds: Early Evidence on Performance Trade-offs of Guideline-Based Categorisation for Ischaemic Stroke Outcome Prediction

    Aug 5, 2026Esra Zihni, Katryna Cisek, Hamzah Ziadeh +3Clinical PredictionStroke

    Artificial Intelligence in Digital Health and Medicine, Technological University Dublin, Ireland · Aalborg University, Aalborg, Denmark · International Clinical Research Center, St. Anne’s University Hospital, Brno, Czechia +2

  17. Patients-like-me: A Variational LM--GNN Framework for Explainable Clinical Prediction

    Aug 4, 2026Xinyu Wang, Yixuan Li, Hanwei Wu +4Medical World ModelClinical Prediction

    1McGill University · 2Université de Montréal · 3Georgia State University +1

  18. Characterizing Treatment-Context Medication Evidence Across Clinic Notes and Structured EHR Medication History

    Aug 3, 2026Mingyang Jiang, Congning Ni, Weixin Liu +1Medication LeafletElectronic Health Records

    Vanderbilt University, Nashville, TN, USA · Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA

  19. TWICE: Two-Clock, Two-Window Learning for Long-Horizon Conversion Prediction in Online Advertising

    Jul 28, 2026Kaiyuan Li, Kun Wang, Zhongbo Wang +4Click-Through Rate PredictionAds

    Kuaishou Technology Beijing, China

  20. Fracture Risk Prediction in Adults Over 50 Years Old Using DXA and EHR: Comparison of Traditional and Machine Learning Models in Two Large Cohorts

    Jul 25, 2026Jiahe Qian, Hao Dai, Kunyu Yu +6Electronic Health RecordsCohort

    Department of Population Health Sciences, Weill Cornell Medicine, New York, USA · Department of Biostatistics & Health Data Science, Indiana University School of Medicine, Indiana, USA · Department of Medicine, School of Medicine, Indiana University, Indiana, USA +2

  21. Scaling Up Formal Representation of Clinical Trial Protocols in Ensemble Logic Using LLMs: A Preliminary Study

    Jul 23, 2026Yan Huang, Xubing Hao, Xiaojin Li +4Clinical TrialsNatural Language

    McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA · McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA

  22. A Multi-Cohort Validation of Censoring-Aware Conformal Lower Predictive Bounds for Pathology Survival Models

    Jul 23, 2026Mingi HongSurvival PredictionsCohort

    Independent Researcher

  23. Real-World Evaluation of an AI Agent Drafting Translational Impact Summaries

    Jul 18, 2026Mohammad Arvan, Amber E. Osterholt, Bailee Rue +5Scholar Information DatabaseArtificial Intelligence Agents

    University of Illinois Chicago, Chicago, IL, USA

  24. Optimizing Clinical Trial Protocols Using EHR-Derived Heterogeneous Treatment Effects

    Jul 18, 2026Xiaodi Li, Munhuwan Lee, Pengyang Li +5Heterogeneous Treatment EffectsClinical Trials

    Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, USA · Division of Cardiology, Pauley Heart Center, Virginia Commonwealth University, Richmond, VA, USA · MCHS Cardiology, Mayo Clinic, Rochester, MN, USA +2

  25. Demographically-Conditioned Synthetic Medical Images for Bias Mitigation and Bias Detection in Disease Classifiers

    Jul 16, 2026Mahmoud Ibrahim, Bart Elen, Chang Sun +2Synthetic Image DetectionFairness Audits

    Institute of Data Science, Faculty of Science and Engineering, Maastricht University, Maastricht, The Netherlands · Department of Advanced Computing Sciences, Faculty of Science and Engineering, Maastricht University, Maastricht, The Netherlands · VITO, Belgium

  26. Imputation-free transformer learning enables robust Alzheimer's disease prediction and calibrated uncertainty quantification across heterogeneous clinical cohorts

    Jul 13, 2026Christelle Schneuwly Diaz, Narmina Baghirova, Duy-Thanh Vu +4AlzheimerImputation

    Platform of Bioinformatics, Lausanne University Hospital. · Faculty of Biology and Medicine, University of Lausanne. · 3Leenaards Memory Centre, Lausanne University Hospital. +1

  27. Heterogeneous Agent Cohorts for Safe Open-Ended Exploration with Runtime Constraint Memory

    Jul 13, 2026Tengjiao LiuRuntime Safety FilteringRuntime

    Founder & Researcher, psi.run

  28. The Entanglement Wall: Activation-Space Probes as Risk Detectors, Not Context Adjudicators

    Jul 12, 2026Dominik SchwarzRealistic Threat ModelModel Auditing

    Independent Researcher

  29. SHIFT: Survival Prediction from Incomplete and Heterogeneous Genomic Data

    Jul 4, 2026Muhammet Sami Yavuz, Ayhan Can Erdur, Sabri Mustafa Kahya +2Survival PredictionsGenome-Wide Association Study

    AI for Image-Guided Diagnosis and Therapy, School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany · Munich Center for Machine Learning (MCML) · Department of Radiation Oncology, TUM University Hospital +4

  30. Foundation Models vs. Radiomics for Lung Computed Tomography: A Benchmark of Feature Extractors, Classification Heads, and Segmentation Choices

    Jul 1, 2026Nils Neukirch, Martin Maurer, Nils StrodthoffRadiomicsCohort

    Division AI4Health, Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstraße 114-118, Oldenburg 26129, Niedersachsen, Germany · University Institute for Diagnostic and Interventional Radiology, Klinikum Oldenburg AöR, Rahel-Straus-Straße 10, Oldenburg 26133, Niedersachsen, Germany

  31. How Early Is Early Enough? Design-Dependent Observation-Window Sufficiency in Subscription Churn Prediction

    Jul 1, 2026Xiao Han, Yao Xiao, Chenyu Wu +1Churn PredictionCohort

    Goizueta Business School Emory University Atlanta, GA, USA · College of Computing Georgia Institute of Technology Atlanta, GA, USA · Pratt School of Engineering Duke University Durham, NC, USA +1

  32. A Filtered Mixture-of-Generators for Fully Synthetic Survival Training

    Jun 30, 2026Niccolò Maria Rizzi, Eugenio Lomurno, Alberto Archetti +1Survival AnalysisSynthetic Tabular Data

    Politecnico di Milano, Milan, Italy

  33. COHORT: Collaborative Orchestration for Hardening via Offensive Replay on Emulated Topologies

    Jun 29, 2026Chen Frydman, Aviram Zilberman, Rubin Krief +6MitigationOrchestration

    Ben-Gurion University of The Negev, Beer Sheva, Israel · Jerusalem College of Technology, Jerusalem, Israel · Fujitsu

  34. From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation

    Jun 29, 2026Francesco Fabbri, Martino Andrea Scarpolini, Paolo Ciancarella +4End-To-End 4D Heart Mesh Recovery Across Full-StackMulti Organ Computed Tomography Segmentation

    Gran Sasso Science Institute (GSSI), L’Aquila, Italy. · European Hospital, Rome, Italy. · University of Edinburgh, Edinburgh, Scotland. +2

  35. Inherited Circuits, Learned Semantics: How Fine-Tuning Creates Evasion Vulnerabilities Invisible to Standard Evaluation

    Jun 25, 2026Ryan FettermanModel Fine-TuningEvasion

    Cisco Talos

  36. OncoSynth: Synthetic data generation for treatment effect estimation in oncology

    Jun 24, 2026Octavia-Andreea Ciora, Julian Welzel, Dennis Frauen +6Synthetic DataHeterogeneous Treatment Effects

    1LMU Munich, Munich, Germany · 2Munich Center for Machine Learning (MCML), Munich, Germany · Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom +3

  37. Cohort-Anchored Foundation Models for Electronic Health Records: From Risk Scores to Auditable Peer Cohorts

    Jun 20, 2026Kaiping ZhengMedical World ModelElectronic Health Records

    National University of Singapore

  38. Displacement Is Not Direction: Evaluating Fidelity Metrics for Quantized LLM Deployment

    Jun 17, 2026Miloš Nikolić, Ali Hadi Zadeh, Enrique Torres Sanchez +1Large Language Model QuantizationKullback-Leibler Divergence

    ByteShape · University of Toronto · Vector Institute for Artificial Intelligence

  39. Can Physician Expertise Improve Machine Learning Identification of Delirium?

    Jun 16, 2026Xinyu Qin, Vicky Ye, Ruiheng Yu +1Cohort

    Department of Biomedical Engineering, University of Houston, USA · Paul G. Allen School of Computer Science & Engineering, University of Washington, USA · Department of Health Systems & Population Health Sciences, University of Houston, USA

  40. A Complexity Measure for Active Learning in Multi-group Mean Estimation

    Jun 12, 2026Abdellah Aznag, Rachel Cummings, Adam N. ElmachtoubActive LearningOptimal Sample Complexity

    Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University

  41. Expert-Driven Survival Machines: Improving Stratification and Interpretability in Multiple Clinical Cohorts

    Jun 12, 2026Farica Zhuang, Zixuan Wen, Christos Davatzikos +1Survival PredictionsSurvival Analysis

    University of Pennsylvania Philadelphia, Pennsulvania, USA

  42. From Patches to Patients: A study of the tile-to-slide performance transferability in Digital Pathology

    Jun 9, 2026Sofiène Boutaj, Leo Fillioux, Maria Vakalopoulou +2Wireless Foundation ModelsMultiple Instance Learning

    Université Paris-Saclay, CentraleSupélec, Gustave Roussy, INSERM, IHU PRISM, Cancer Data Science Unit, France · Université Paris-Saclay, CentraleSupélec, MICS Laboratory, France

  43. KCSAT-ML: Probing Reasoning Models with Nationwide-Cohort Human Difficulty

    Jun 9, 2026Sanghee Park, Geewook Kim, Kee-Eung KimMathematical Reasoning BenchmarksLarge Reasoning Models

    NAVER Cloud AI · KAIST AI

  44. Simultaneous hyperkinetic movement disorders phenotyping: a cross-cohort pediatric transfer study using routine videos, markerless pose estimation and a tabular foundation model

    Jun 4, 2026Laura Cif, Diane Demailly, Zohra Souei +11Cohort

    Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland · Institut du Neurone, Montferrier sur Lez, France · Department of Neurology, Clinique Beau Soleil, Institut Mutualiste Montpelliérain, Montpellier, France +10

  45. Efficient Transformer-Based Localized Patch Sampling for Choroid Plexus Segmentation in Multiple Sclerosis

    Jun 2, 2026Po-Jui Lu, Alessandro Cagol, Mario Ocampo-Pineda +12Multiple SclerosisSwin

    Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland · Department of Neurology, University Hospital Basel, Basel, Switzerland · Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland +4

  46. Fairness Beyond Demographics: Optimizing Performance Across Appearance-Based Hidden Cohorts in Medical Imaging

    May 28, 2026Milad Masroor, Cuong Nguyen, Kevin Wells +1Algorithmic FairnessMedical Imaging

    Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK

  47. Subcortical Shape Variations and Their Associations with Cognition Across the 8th Decade of Life. A Study in the Lothian Birth Cohort 1936

    May 28, 2026Maria del C. Valdes-Hernandez, Wonjung Park, Joanna Moodie +7Brain AgeLongitudinal Data

    Department of Neuroimaging Sciences, University of Edinburgh, 49 Little France Crescent, Edinburgh, EH164SB, United Kingdom. · Computer Graphics and Visualization Laboratory, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Daejeon, 34141, Republic of Korea. · Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, EH89JZ, United Kingdom. +1

  48. Mitigating Label Bias with Interpretable Rubric Embeddings

    May 20, 2026Calvin Isley, Johann D. Gaebler, Sharad GoelBiasesLabel Propagation

    Harvard Kennedy School · Harvard University · Cambridge, MA 02139 +1

  49. TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health

    May 20, 2026Yuang Fan, Lilin Xu, Millie Wu +8Mental HealthBehavioral Foundation Models

    Columbia University, USA · University of North Carolina at Chapel Hill, USA · Yale University, USA +3

  50. SAGE: Scalable Automatic Gating Ensemble for Confident Negative Harvesting in Fraud Detection

    May 19, 2026Sudheer Tubati, Amit GoyalFraud DetectionNegative Results

    Amazon Music Seattle, USA · Amazon Music San Francisco, USA

  51. RISED: A Pre-Deployment Evaluation Framework for High-Stakes AI Decision-Support Systems, with Application to Healthcare

    May 13, 2026Rohith Reddy Bellibatlu, Manpreet Singh, Yash Jajoo +2Clinical Decision SupportPre-Deployment Safety Assessments

    Florida International University, Miami, FL, USA. · Boston University, Boston, MA, USA. · New York University, New York, NY, USA. +2

  52. What Cohort INRs Encode and Where to Freeze Them

    May 8, 2026Vasiliki Sideri-Lampretsa, Sophie Starck, Robbie Holland +2Neural RepresentationsCohort

    Chair of AI in Healthcare and Medicine, Technical University of Munich, Germany · TUM University Hospital, Munich, Germany · Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA +3

  53. LaTA: A Drop-in, FERPA-Compliant Local-LLM Autograder for Upper-Division STEM Coursework

    May 6, 2026Jesse A. RodríguezGradingModifications

    School of Mechanical, Industrial, and Manufacturing Engineering Oregon State University Corvallis, OR 97331, USA

  54. Demographic-Aware Transfer Learning for Sleep Stage Classification in Clinical Polysomnography

    May 4, 2026S M Asif Hossain, Shruti KshirsagarSleepCohort

    School of Computing, Wichita State University, Wichita, Kansas, USA

  55. From Prediction to Practice: A Task-Aware Evaluation Framework for Blood Glucose Forecasting

    May 1, 2026Alireza Namazi, Heman ShakeriContinuous Glucose MonitoringAlarm Fatigue

    Department of Computer Science University of Virginia Charlottesville, VA, USA · School of Data Science University of Virginia Charlottesville, VA, USA

  56. CGM-JEPA: Learning Consistent Continuous Glucose Monitor Representations via Predictive Self-Supervised Pretraining

    May 1, 2026Hada Melino Muhammad, Zechen Li, Flora Salim +1Continuous Glucose MonitoringSelf-Supervised Learning

    University of New South Wales · Google Research

  57. Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection

    Apr 27, 2026Nicholas R. Rasmussen, Longwei Wang, Rodrigue Rizk +5Small-Sample Electroencephalogram DatasetsBiomarker

    USD AI Research, Department of Computer Science, University of South Dakota, Vermillion, SD 57069, USA · Biomedical and Translational Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD 57069, USA · Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, NE1 8ST, United Kingdom +1

  58. Implicit Framing in Obstetric Counseling Notes: A Grounded LLM Pipeline on a VBAC-Eligible Cohort

    Apr 24, 2026Baris Karacan, Barbara Di Eugenio, Patrick Thornton +2Task FramingClinical Notes

    University of Illinois Chicago · Chicago, IL, USA

  59. PanGuide3D: Cohort-Robust Pancreas Tumor Segmentation via Probabilistic Pancreas Conditioning and a Transformer Bottleneck

    Apr 22, 2026Sunny Joy Ma, Xiang MaTumor SegmentationPanoptic Segmentation

    Trailridge School, Waukee, IA, 50263, USA · Department of Biochemistry, Grand View University, Des Moines, IA 50316, USA · Department of Computer Science, Iowa State University, Ames, IA 50011, USA

  60. Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning

    Apr 22, 2026Dario Simionato, Andrea Tonon, Mingxue Wang +3Heterogeneous Treatment EffectsCohort

    Huawei Ireland Research Centre Dublin, Ireland · Huawei Nanjing R&D Center Nanjing, China