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7 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. ViBR-WM: Visual Bayesian Regression for World Modeling

    Sep 27, 2026Jifan Li, Ning NingWorld ModelsFuture Video Prediction

    Department of Statistics, Texas A&M University College Station, TX 77843

  2. Probabilistic Modelling of Operational Design Domains, A New Approach for Testing AI Systems

    Sep 21, 2026Hans-Werner WiesbrockProbabilistic ModelOntology

    ITPower Solutions GmbH Kolonnenstrasse 26 10829 Berlin, Germany

  3. Certified Uncertainty Propagation in One-Shot Federated Bayesian Models via Posterior Event Transport

    Sep 14, 2026Mahyar Mohammadi, Mohammad Hossein Badiei, Abolfazl Yaghmaei +1Bayesian Neural NetworksFinite-Sample Certificates

    School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, 1417614411, Iran · School of Computer Science, Institute for Research in Fundamental Sciences (IPM), P.O. Box 19395-5746, Tehran, Iran

  4. ABSOL: Aggregated Bayesian Subsampling Orchestrated with LLMs

    Sep 14, 2026Jackson Hassell, Chen Shen, Estevam HruschkaBayesian NetworksBayesian Inference

    Megagon Labs

  5. Structural Fusion of Bayesian Networks with Limited Treewidth Using Genetic Algorithms

    Sep 9, 2026Pablo Torrijos, José A. Gámez, José M. PuertaBayesian NetworksGenetic Algorithms

    Instituto de Investigaci´on en Inform´atica de Albacete (I3A). Universidad de Castilla-La Mancha. Albacete, 02071, Spain · Departamento de Sistemas Inform´aticos. Universidad de Castilla-La Mancha. Albacete, 02071, Spain

  6. High-Magnetization Sampling at Low Temperatures: Ising Models and Bayesian Sparse Linear Regression

    Sep 8, 2026Syamantak Kumar, Purnamrita Sarkar, Kevin Tian +1Spatial Photonic Ising MachinesMarkovian Sampling

    University of Texas at Austin

  7. LEBGen: An LLM-Enhanced Bayesian Network Framework for Few-Shot Travel Survey Data Generation

    Sep 8, 2026Zijian Shen, Bin Zhou, Jiguang Wang +2Synthetic DataBayesian Networks

    Department of Civil Engineering, The University of Hong Kong · Department of Urban Planning and Design, The University of Hong Kong

  8. Genetic Algorithms for Tractable Bayesian Network Fusion via Pre-Fusion Edge Pruning

    Sep 3, 2026Pablo Torrijos, José A. Gámez, José M. Puerta +1Bayesian NetworksGenetic Algorithms

    Universidad de Castilla-La Mancha Departamento de Sistemas Informáticos, Albacete, Spain · Universidad de Castilla-La Mancha Departamento de Matemáticas, Albacete, Spain

  9. Interpretable Causal Discovery via Causal-Effect Constraints

    Aug 12, 2026Cixuan Zhang, Guy Van den Broeck, Benjie WangCausal Discovery MethodsCausal Graph

    Computer Science Dept., Yale University, New Haven, Connecticut, USA · Computer Science Dept., University of California, Los Angeles, Los Angeles, California, USA

  10. From probability to causality in probabilistic logic programming

    Aug 7, 2026Zora Wurm, Kilian Rückschloß, Felix WeitkämperCausal ReasoningProbabilistic Model

    Ludwig-Maximilians-Universität München, Oettingenstraße 67, 80538 München · Eberhard-Karls-Universität Tübingen, Auf der Morgenstelle 10, 72076 Tübingen · German University of Digital Science, Marlene-Dietrich-Allee 14, 14482 Potsdam

  11. SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discovery

    Aug 5, 2026Shrenik ZinageCausal Discovery MethodsBayesian Networks

    Massachusetts Institute of Technology · This work was conducted while the author was a PhD student at Purdue University, independently of the author’s dissertation research.

  12. The Cost of Binarizing Survival Outcomes in Clinical Prognostic Modeling

    Aug 4, 2026Shashank Yadav, David M. Routman, Andrew Y. K. FoongSurvival AnalysisSurvival Predictions

    Department of Radiation Oncology Mayo Clinic, Rochester, MN, USA 55905

  13. LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation

    Aug 3, 2026Zijian Shen, Taijie Chen, Bin Zhou +2Synthetic Tabular DataTabular Data

    Department of Civil Engineering, The University of Hong Kong

  14. A Neurosymbolic Approach for Explainable Early Diagnosis of Alzheimer's Disease

    Jul 31, 2026Ranveer Singh, Pranuthi Tenali, Saurabh Mathur +6AlzheimerDisease

    The University of Texas at Dallas, Richardson, TX · TU Darmstadt, Germany · Swarthmore College, PA +1

  15. Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions

    Jul 29, 2026Shuo-Chieh Huang, Chien-Ming Chi, Jau-er ChenExponential FamilyDensity Ratio Estimation

    Department of Statistics, Rutgers University, Piscataway, NJ, U.S.A. · Institute of Statistical Science, Academia Sinica, Taipei, Taiwan · School of Political Science and Economics, National Taiwan University, Taipei, Taiwan

  16. Runtime Uncertainty Monitoring for LLM-Based Multi-Agent Systems Using Bayesian Networks

    Jul 28, 2026Bart Custers, Koorosh AslansefatLarge Language Model UncertaintyMulti-Agent Large Language Model Systems

    University of Hull, Hull HU6 7RX, UK

  17. How Rules Represent Causal Knowledge: Causal Modeling with Probabilistic Logic Programming

    Jul 23, 2026Kilian Rueckschloss, Felix WeitkaemperCausal ModelingLocal Causal Structures

    Eberhard Karls Universitaet Tuebingen · University of Tübingen Tübingen, Germany · German University of Digital Science +1

  18. How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding

    Jul 10, 2026Debargha Ghosh, Silja Renooij, Anna V. KononovaCausal Discovery MethodsLatent Confounders

    Department of Information and Computing Sciences, Utrecht University · Leiden Institute of Advanced Computer Science, Leiden University

  19. Decomposition for Bayesian Networks: Local and Parallel Inference

    Jul 6, 2026Pei Heng, Xinyi Hu, Yi SunBayesian NetworksProbabilistic Inference

    Institute of Statistics and Data Science, Xinjiang University of Finance and Economics, Urumqi, China

  20. Knowledge-Informed Local Causal Discovery of Optimal Adjustment Sets

    Jul 5, 2026Seong Woo Ahn, Alessandro Leite, José Lucas De Melo Costa +3Causal Discovery MethodsBayesian Networks

    Laboratoire Interdisciplinaire des Sciences du Numérique, Université Paris-Saclay, CNRS, CentraleSupélec, France · LITIS UR 4108, INSA Rouen Normandy, University of Rouen Normandy, France

  21. Task-Conditioned Synthetic Data Generation for Improving Machine Learning Performance in Agricultural Prediction Tasks

    Jul 4, 2026Hamid Ebrahimy, Moritz Lucas, Martin AtzmuellerAgricultural PredictionSynthetic Data

    Osnabrück University, Joint Lab Artificial Intelligence and Data Science, Osnabrück, Germany · Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Potsdam, Germany · German Research Center for Artificial Intelligence (DFKI), Research Department Cooperative and Autonomous Systems (CAS), Osnabrück, Germany

  22. Bayesian Sparse Low-Rank Adaptation for Large Language Model Uncertainty Estimation

    Jul 2, 2026Jijie Zhang, Zhe Ren, Quan Zhang +1Large Language Model UncertaintyTraining-Side Stage-Aware Low-Rank Adaptation

    School of Artificial Intelligence, Jilin University · Michigan State University

  23. Bayesian Networks with Latent Time Embedding for Stage-Aware Causal Modeling of Alzheimer's Disease Progression

    Jun 14, 2026Nguyen Linh Dan LeAlzheimerBayesian Networks

    Department of Biomedical Engineering The University of Melbourne, Melbourne, Australia

  24. A Bayesian Network Approach for Enhancing Security-Focused Decision Support Systems

    Jun 9, 2026Carolina Fernández-Martínez, Shuaib Siddiqui, Vanesa DazaBayesian NetworksInfrastructure

    Department of Cybersecurity, i2CAT Foundation, 08034 Barcelona, Spain · Department of Information and Communication Technologies, Universitat Pompeu Fabra, 08018 Barcelona, Spain

  25. Large-Scale Continuous Occupancy Mapping via Variance-Weighted Submap Joining

    Jun 9, 2026Zhuhua Bai, Yingyu Wang, Liang Zhao +1Simultaneous Localization And MappingOccupancy

    Robotics Institute, University of Technology Sydney, Australia · School of Informatics, University of Edinburgh, UK

  26. KG-SoftMAP: Soft Knowledge-Graph Priors for Bayesian Network Structure Learning from Sparse Discrete Data

    Jun 9, 2026Guoliang Xu, James E. CorterBayesian NetworksGraph Representation Learning

    Columbia University

  27. Performance Evaluation of Social Learning

    Jun 8, 2026Felice Scala, Marco Carpentiero, Vincenzo Matta +1Network ScienceOptimal Learner

    DIEM, University of Salerno, I-84084 Fisciano (SA), Italy · CNIT, Italy · EPFL, CH-1015 Lausanne, Switzerland

  28. Network Recovery from Cascade Data: A Debiased Jacobian-Based Machine Learning Approach

    Jun 5, 2026Lei HuangNetwork ScienceEpidemiological Models

    MIT Sloan School of Management

  29. Beyond Post-hoc Explanation: Toward Glassbox AI via Probabilistic Mediation

    Jun 5, 2026Manuele LeonelliExplainabilityExplainable AI Methods

    School of Science and Technology, IE University, Madrid, Spain

  30. Causal Atlases from Entropic Inference: Bayesian Networks beyond Optimal DAGs

    Jun 4, 2026Hazhir Aliahmadi, Irina Babayan, Greg van AndersBayesian NetworksDirected Acyclic Graph

    Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston ON, Canada

  31. Discrete Causal Representations from Heterogeneous Domains: A Bayesian Approach with Social Survey Applications

    Jun 4, 2026Ankur Garg, Michael Stettler, Aaron Schein +1Causal Representation LearningBayesian Networks

    Department of Statistics, University of Chicago · University of Tübingen · Department of Statistics & Data Science Institute, University of Chicago +1

  32. Transferring Information Across Interventions in Causal Bayesian Optimization

    May 31, 2026Mohammad Ali JavidianBayesian OptimizationCausal Representation Learning

    Computer Science Department Appalachian State University Boone, USA

  33. Efficient Synthetic Network Generation via Latent Embedding Reconstruction

    May 31, 2026Feifan Jiang, Yinan Bu, Shihao Wu +2Network ScienceNeural Network

    Department of Statistics, University of Michigan, Ann Arbor, Michigan, USA.

  34. Extending Causal Metamodeling to a non-Markovian Queue

    May 30, 2026Pracheta Amaranath, Anant Bhide, David Jensen +1Queue ControlBayesian Networks

    Manning College of Information and Computer Sciences, University of Massachusetts Amherst, MA, USA

  35. Annotation-Informed Block-Sparse Bayesian Modeling for cis-Expression Prediction

    May 30, 2026Lei Huang, Hui Shen, Kuan-Jui Su +9Genome-Wide Association StudyGeneralized Linear Model

    School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, USA · Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, USA · Texas Tech University Health Sciences Center, School of Medicine, Texas Tech University

  36. iLoRA: Bayesian Low-Rank Adaptation with Latent Interaction Graphs for Microbiome Diagnosis

    May 28, 2026Yang Song, Yixuan Zhang, Lingfa Meng +5Bacterial Colony CountingBayesian Networks

    Section of Health Data Science & AI, Department of Public Health, University of Copenhagen, Copenhagen, Denmark · University of Copenhagen, Copenhagen, Denmark · Rutgers University, New Brunswick, NJ, USA +1

  37. Joint Model and Data Sparsification via the Marginal Likelihood

    May 28, 2026Alexander Timans, Thomas Möllenhoff, Christian A. Naesseth +2SparsityBayesian Networks

    1UvA-Bosch Delta Lab, University of Amsterdam · 2RIKEN Center for AI Project, Tokyo, Japan · Department of Computer Science, Johns Hopkins University.

  38. Parallel Adaptive Multi-Objective Evolutionary Learning of Discretized Bayesian Network Classifiers for Clinical Data

    May 27, 2026Damy M. F. Ha, Thalea Schlender, Yvette M. van der Linden +2Bayesian NetworksClassifier

    Leiden University Medical Center · Centrum Wiskunde & Informatica

  39. BIRDNet: Mining and Encoding Boolean Implication Knowledge Graphs as Interpretable Deep Neural Networks

    May 27, 2026Tirtharaj DashBiomedical Knowledge GraphRelational Deep Learning

    BITS Pilani, K K Birla Goa Campus Zuarinagar, Goa 403726, India

  40. Entropy Equivalence Testing

    May 22, 2026Clément L. Canonne, Yash Pote, Jonathan Scarlett +1Two-Sample TestingOptimal Sample Complexity

    University of Sydney · National University of Singapore

  41. Structured Neural Marked Point Processes for Interpretable Event Interaction Modeling

    May 17, 2026Zhitong Xu, Qiwei Yuan, Yinghao Chen +2Determinantal Point ProcessTemporal Dependence

    Kahlert School of Computing, University of Utah · Celonis AI

  42. Bayesian Networks for Path-Based Sensors: Gathering Information and Path Planning in Communication Denied Environments

    May 15, 2026Alkesh K. Srivastava, George P. Kontoudis, Donald Sofge +1Path PlanningBayesian Networks

    University of Maryland, College Park, MD, US. · Temple University, Philadelphia, PA, US. · Colorado School of Mines, Golden, CO, US. +1

  43. Amortizing Causal Sensitivity Analysis via Prior Data-Fitted Networks

    May 11, 2026Emil Javurek, Dennis Frauen, Marie Brockschmidt +2Causal InferencesTabular Prior-Data Fitted Network

    1LMU Munich · 2Munich Center for Machine Learning (MCML)

  44. Free Energy Manifold: Score-Based Inference for Hybrid Bayesian Networks

    May 11, 2026Cheol Young Park, Shou MatsumotoBayesian NetworksManifolds

    ATOS Co., Ltd., 273, Digital-ro, Guro-gu, Seoul, 08381, Republic of Korea · C5I Center, George Mason University, Fairfax, VA 22030, USA

  45. PRIM: Meta-Learned Bayesian Root Cause Analysis

    May 9, 2026Christopher Lohse, Anish Dhir, Amadou Ba +3Root Cause AnalysisCausal Inferences

    University of Dublin, Trinity College, Dublin, Ireland · IBM · Gatsby Computational Neuroscience Unit, University College London +2

  46. On Observation Time for Recovering Latent Hawkes Networks

    May 8, 2026Jonas Linkerhägner, Michele Bortolasi, Lorenzo Baldassari +2Network ScienceDeterminantal Point Process

    University of Basel · Rice University

  47. Dynamic Treatment on Networks

    May 7, 2026Bengusu Nar, Jiguang Li, Veronika Ročková +1Treatment AllocationNetwork Science

    Econometrics and Statistics at the Booth School of Business of the University of Chicago · Bruce Lindsay Professor of Econometrics and Statistics in the Wallman Society of Fellows at the Booth School of Business of the University of Chicago · Professor of Econometrics and Statistics, and John E. Jeuck Faculty Fellow at the Booth School of Business of the University of Chicago

  48. Evidence-based anomaly detection in clinical domains

    May 6, 2026Milos Hauskrecht, Michal Valko, Branislav Kveton +2Graph Anomaly DetectionBayesian Networks

    Computer Science Department; 2 Intelligent Systems Program; 3 Department of Biomedical Informatics, University of Pittsburgh, PA · Intelligent Systems Program; 3 Department of Biomedical Informatics, University of Pittsburgh, PA

  49. Heterogeneous Ordinal Structure Learning with Bayesian Nonparametric Complexity Discovery

    May 5, 2026Amir Rafe, Subasish DasLinear Structural Equation ModelsBayesian Networks

    Texas State University San Marcos, USA

  50. Exact and Approximate Algorithms for Polytree Learning

    May 5, 2026Juha Harviainen, Frank Sommer, Manuel SorgeBayesian NetworksApproximation Algorithms

    Department of Computer Science, University of Helsinki, Helsinki, Finland · Institute of Computer Science, Friedrich-Schiller Universität Jena, Jena, Germany · Institute of Logic and Computation, TU Wien, Vienna, Austria

  51. Networked Information Aggregation for Binary Classification

    May 1, 2026MohammadHossein Bateni, Zahra Hadizadeh, MohammadTaghi Hajiaghayi +2Logistic RegressionBayesian Networks

    Google Research, New York City, NY, USA · University of California, Irvine, CA, USA · University of Maryland, College Park, MD, USA

  52. Proactive Dialogue Model with Intent Prediction

    Apr 30, 2026Yang LuoBayesian Networks

    Department of Computer Science University of Hong Kong

  53. Causal Discovery as Dialectical Aggregation: A Quantitative Argumentation Framework

    Apr 26, 2026Sheng Wei, Yulin Chen, Beishui LiaoCausal Discovery MethodsArgumentation Frameworks

    The College of Computer Science and Technology, Zhejiang University · School of Philosophy, Zhejiang University · ZLAIRE, Zhejiang University +1

  54. A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage

    Apr 23, 2026Szymon Rusiecki, Cecilia Morales, Pia Störy +3TriageBayesian Networks

    AGH University of Krakow, Krak´ow, Poland · Carnegie Mellon University, Pittsburgh, PA, USA · Osnabrück University, Osnabrück, Germany +1

  55. Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks

    Apr 20, 2026Aoran Zhang, Tianyao Wei, Maria J. Guerrero +1Restricted Bernoulli Matrix FactorizationSparsity

    Department of Electrical and Computer Engineering and the Ken Kennedy Institute, Rice University · Department of Computational and Applied Mathematics, Rice University

  56. Domain Elastic Transform: Bayesian Function Registration for High-Dimensional Scientific Data

    Mar 22, 2026Osamu Hirose, Emanuele RodolaImage RegistrationHigh-Dimensional

    Institute of Science and Engineering, Kanazawa University, Kakuma, Kanazawa, Ishikawa 920-1192, Japan · Department of Computer Science, Sapienza University of Rome, Italy

  57. Learning Causal Structure of Time Series using Best Order Score Search

    Mar 5, 2026Irene Gema Castillo Mansilla, Urmi NinadCausal Discovery MethodsTime Series

    University of Potsdam, Potsdam, Germany · Department of Computer Science, University of Potsdam, Potsdam, Germany

  58. Sparse Bayesian Modeling of EEG Channel Interactions Improves P300 Brain-Computer Interface Performance

    Feb 19, 2026Guoxuan Ma, Yuan Zhong, Moyan Li +2Brain-Computer InterfaceElectroencephalography

    Department of Biostatistics, University of Michigan, Ann Arbor MI 48109

  59. Adaptive digital twins for predictive decision-making: Online Bayesian learning of transition dynamics

    Dec 15, 2025Eugenio Varetti, Matteo Torzoni, Marco Tezzele +1Digital TwinsBayesian Networks

    MOX – Dipartimento di Matematica, Politecnico di Milano, Milan, 20133, Italy · Dipartimento di Ingegneria Civile e Ambientale, Politecnico di Milano, Milan, 20133, Italy · Mathematics Department, Emory University, Atlanta, 30322, GA, United States

  60. Forecasting Generative Amplification

    Sep 9, 2025Henning Bahl, Sascha Diefenbacher, Nina Elmer +2Monte CarloModel-Based Bootstrap

    Institut für Theoretische Physik, Universität Heidelberg, Germany · Physics Division, Lawrence Berkeley National Laboratory, Berkeley, USA · Interdisciplinary Center for Scientific Computing (IWR), Universität Heidelberg, Germany