Bayesian Inference

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

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  1. Bayesian Fine-tuning Yields Language Models that are as Bayesian as their Beliefs Allow

    Sep 30, 2026Polina Tsvilodub, Andreas Waldis, Linlu Qiu +2Large Language Model Fine-TuningModel Fine-Tuning

    University of Tübingen · Massachusetts Institute of Technology · New York University

  2. Amortized Bayesian Inference on Multilevel Models of Arbitrary Structure

    Sep 30, 2026Daniel Habermann, Andreas Bulling, Stefan T. Radev +1Bayesian InferenceGeneralized Linear Model

    Department of Statistics TU Dortmund University, Germany · Institute for Visualisation and Interactive Systems University of Stuttgart, Germany · Department of Cognitive Science Rensselaer Polytechnic Institute, USA

  3. BAM! Bayesian Anything Model: a foundation model for generative computational imaging

    Sep 30, 2026Alessio Spagnoletti, Charlesquin Kemajou Mbakam, Jonathan Spence +2Generative ModelsVisual Priors

    Laboratoire MAP5, UMR 8145, Université Paris Cité, CNRS · Heriot-Watt University, School of Mathematical and Computer Sciences & Maxwell Institute for Mathematical Sciences

  4. Mitigating Representation Gaps in Amortized Bayesian Inference with Auxiliary Supervision

    Sep 30, 2026Hans Olischläger, Svenja Jedhoff, Šimon Kucharský +3Bayesian Inference

    Department of Statistics, TU Dortmund University, Germany · Rensselaer Polytechnic Institute

  5. Singularities of Non-negative Matrix Factorization and their application to Bayesian inference

    Sep 28, 2026Naoki Hayashi, Yota Maeda, Yasushi EsakiNonnegative Matrix FactorizationSpectral Norm

    Toyota Central R&D Labs., Inc.

  6. Prior-Amortized In-Context Bayesian Inference for Generalized Linear Mixed-Effects Models

    Sep 21, 2026Alex Kipnis, Marcel Binz, Eric SchulzBayesian InferenceGeneralized Linear Model

    Institute for Human-Centered AI, Helmholtz Munich, Germany

  7. Variational objectives for amortized Bayesian inference in inverse problems: The role of posterior conditioning

    Sep 21, 2026Abhishek Srivastava, Arijit Hazra, Rajesh DubbakuVariationalBayesian Inference

    Department of Mechanical Engineering, Indian Institute of Technology Palakkad · Department of Mathematics, Indian Institute of Technology Palakkad

  8. Semantic SLAM in Precision Agriculture using Bayesian Inference

    Sep 17, 2026Ruben Beumer, Sander Doodeman, René van de Molengraft +1Simultaneous Localization And MappingAgricultural Robotics

    Department of Mechanical Engineering, Eindhoven University of Technology P.O. Box 513, 5600 MB Eindhoven, The Netherlands

  9. Compressed Active Subspaces for Scalable Bayesian Inference

    Sep 17, 2026Thomas Flynn, Sanket Jantre, Byung-Jun Yoon +1SubspaceBayesian Inference

    Computing and Data Sciences Directorate, Brookhaven National Laboratory, Upton, NY, USA · Department of Electrical & Computer Engineering, Texas A&M University, College Station, TX, USA · Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL, USA

  10. ABSOL: Aggregated Bayesian Subsampling Orchestrated with LLMs

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

    Megagon Labs

  11. Thermodynamic Cyclic Processes with Markov Samplers in Bayesian Inference

    Sep 7, 2026Heinrich von Campe, Bjoern Malte SchaeferBayesian InferenceMarkov Chain Monte Carlo

    Interdisziplinäres Zentrum für wissenschaftliches Rechnen, Universität Heidelberg · Tübingen AI Center, University of Tübingen · ELLIS Institute Tübingen +2

  12. Learning Informative Prior with Infinite-Dimensional Continuous Normalizing Flow for Bayesian Inverse Problem

    Sep 3, 2026Yang Zhao, Junxiong Jia, Tao ZhouBayesian Inverse ProblemsNormalizing Flows

    School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, China · Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, Beijing, 100190, China

  13. Poisson-Gamma Dynamical Systems with Time-varying Transition Dynamics

    Sep 1, 2026Jiahao Wang, Yijun Wang, Nan Fang +1Bayesian InferenceMarkov

    Department of Electrical and Computer Engineering, University of Arizona, US · School of Computing and Information Technology, Great Bay University, China · Tsinghua University, China +1

  14. Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model

    Aug 4, 2026Yufei Wu, Shanqing Gao, Andreas Voss +1Bayesian Inference

    1KU Leuven, Belgium · 2Heidelberg University, Germany

  15. Leveraging System-Level Observations to Inform Bayesian Learning of Model Parameters for Quantitative Verification

    Aug 4, 2026Simos Gerasimou, Xingyu ZhaoDynamic Epistemic LogicBayesian Inference

    Cyprus University of Technology, Cyprus · Wuhan University, China

  16. Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch

    Jul 31, 2026Paul Brunzema, Louis Tiao, Nhat Le +3Bayesian OptimizationAgentic Optimization

    Meta · RWTH Aachen University, Germany

  17. Inverse Bayesian Inference for Extracting Lesion Dynamics from Longitudinal Spectral CT

    Jul 25, 2026Lukas Förner, Melina Wördehoff, Julian Steffens +6Cone-Beam Computed TomographyBayesian Inference

    Dept. of diagnostic and interventional Radiology and Neuroradiology, University Hospital Augsburg, Germany · Digital Medicine, University Hospital Augsburg, Germany · Chair for Computer-Aided Medical Procedures and Augmented Reality, Technical University of Munich, Germany +5

  18. Verbalized Particle Posterior: Bayesian Inference over Natural Language Hypotheses

    Jul 25, 2026Yan Zhang, Shikan Lian, Shibo LiBayesian InferenceBayesian Neural Networks

    Department of Computer Science, Florida State University

  19. An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning

    Jul 23, 2026Maximilian Dax, Theo Heimel, Gilles LouppeBayesian InferenceBayesian

    ELLIS Institute Tübingen, Max Planck Institute for Intelligent Systems, Tübingen AI Center, Tübingen, Germany · CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium · Montefiore Institute, University of Liège, Belgium

  20. A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment

    Jul 20, 2026Nikola Pižurica, Matteo Risso, Nikola Milović +4Bayesian InferenceResource-Constrained Edge Devices

    Computer Science Center, University of Montenegro · Fain Tech, Podgorica, Montenegro · Department of Control and Computer Engineering, Politecnico di Torino +2

  21. Bayesian Repetition Penalty: A Principled Adjacent-Conditional Framework for Reversing Attention Collapse in Autoregressive Language Models

    Jul 17, 2026Wenjie Fan, Bin Ma, Dong LiAutoregressive Language ModelsRepetition

    Yotta Labs

  22. Decision Making Needs Uncertainty Quantification [Lecture Notes]

    Jul 15, 2026Osvaldo SimeoneDynamic Epistemic LogicUncertainty Quantification

    Institute for Intelligent Networked Systems, Northeastern University London, One Portsoken Street, London, E1 8PH, UK

  23. Dynamic Online Processor-Native Inference for State Estimation

    Jul 13, 2026Orestis KaparounakisBayesian FilteringParticle Filters

  24. Hierarchical Bayesian Quadrature

    Jul 12, 2026Tim Weiland, Toni Karvonen, Philipp HennigBayesian QuadratureBayesian Inference

    Tübingen AI Center, University of Tübingen, Tübingen, Germany · School of Engineering Sciences, Lappeenranta–Lahti University of Technology LUT, Lappeenranta, Finland

  25. Personalized Causal Recourse: A Human-In-The-Loop Approach

    Jul 3, 2026Denise Tampieri, Giovanni De Toni, Paolo GiudiciHuman-In-The-LoopCounterfactual Explanation

    The University of Edinburgh, Edinburgh, UK · ⋆Work conducted during the author’s MSc at the University of Trento, Trento, Italy. · Fondazione Bruno Kessler, Trento, Italy +1

  26. Simulation-based inference for rapid Bayesian parameter estimation in epidemiological models: a comparison with MCMC

    Jun 25, 2026Alina Bazarova, Johann Fredrik Jadebeck, Henrik Zunker +5Epidemiological ModelsBayesian Inference

    Forschungszentrum Jülich, Jülich Supercomputing Centre, Jülich, Germany · Helmholtz AI, Germany · Forschungszentrum Jülich, Institute of Bio- and Geosciences, Jülich, Germany +3

  27. Beyond Global Divergences: A Local-Mass Perspective on Bayesian Inference

    Jun 25, 2026Hanli Xu, Fengxiang He, Sarat MokaBayesian InferenceKullback-Leibler Divergence

    UNSW Sydney · University of Edinburgh

  28. Statistical validation and full-sphere extension of a Bayesian model for human static sound localisation

    Jun 23, 2026Roberto Barumerli, Fabian Brinkmann, Emanuele Zanoni +3Sound Source LocalizationSpeaker

    Dyson School of Design Engineering, Imperial College London, London, United Kingdom · Audio Communication Group, Technische Universität Berlin, Germany · Department of Industrial Systems Technology and Management, University of Padova, Vicenza, Italy

  29. Bayesian Model Averaging under Predictor Redundancy via Density-Ratio Posterior Compression

    Jun 19, 2026Hanqing Li, Xuewen Lu, Yuting ChenPosterior Predictive DistributionPosterior

    Department of Mathematics and Statistics University of Calgary Calgary, AB T2N 1N4, Canada · Department of Mathematics and Statistics Eastern Kentucky University Richmond, KY 40475, USA

  30. Trustworthy MRI Reconstruction via Bayesian Uncertainty Quantification with Sparsity Prior Models

    Jun 15, 2026Ahmed Karam Eldaly, Matteo Figini, Daniel C. AlexanderMagnetic Resonance Imaging ReconstructionImage Reconstruction

    Department of Computer Science, University of Exeter, Exeter EX4 4QF, U.K. · UCL Hawkes Institute, Department of Computer Science, University College London, London, U.K.

  31. Bayesian Inference and Decision Audits for Public Archives of Frontier AI Evaluations

    Jun 15, 2026Yanan LongArtificial Intelligence EvaluationModel Auditing

    StickFlux Labs

  32. Nonlocal Bayesian Modeling of Continuous Spatio-Temporal Dynamics

    Jun 12, 2026Jaeyeong Lee, Heeyoung KimSpatio-Temporal ForecastingBayesian Inference

    Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea

  33. Uncertainty Estimation and Generalization Bounds for Modern Deep Learning

    Jun 11, 2026Luis A. OrtegaBayesian Neural NetworksUncertainty-Aware Classification

    Department of Computer Science Machine Learning Group Madrid

  34. Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging

    Jun 5, 2026Marco Morik, Xiao Ruiting, Shinichi Nakajima +2ElectroencephalographyMultimodal Neuroimaging

    Berlin Institute for the Foundations of Learning and Data (BIFOLD), Germany · Technische Universität Berlin, Germany · RIKEN Center for Advanced Intelligence Project (AIP), Japan +2

  35. Environment-Robust Representation Learning with Empirical Bayes

    Jun 3, 2026Yuli Slavutsky, Matthew Shen, Bohan Wu +1Empirical BayesBayesian Inference

    Department of Statistics Columbia University New York, NY 10027, USA · Departments of Statistics and Computer Science Columbia University New York, NY 10027, USA

  36. Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries

    Jun 3, 2026Riccardo Saporiti, Fabio NobileDiffusion BridgesBayesian Inference

    CSQI École Polytechnique Fédérale de Lausanne Lausanne, Switzerland 1015

  37. Uncertainty-Calibrated Diffusion for Reliable 3D Molecular Graph Generation

    Jun 1, 2026Fang Wan, Jingxiang Qu, Yi LiuMolecular GenerationDiffusion Dynamics

    State University of New York at Stony Brook

  38. Bayesian Inference of Nonlinear Malaria Dynamics in Ghana via an Ensemble Markov Chain Monte Carlo Sampler

    May 30, 2026T. Ansah-Narh, Y. Asare Afrane, J. Bremang TandohAccurate Dengue ForecastingBayesian Inference

    Ghana Space Science and Technology Institute, Ghana Atomic Energy Commission, P. O. Box LG 80, Legon, Accra, Ghana · Department of Medical Microbiology, University of Ghana Medical School, University of Ghana, Accra, Ghana

  39. Scalable Bayesian Inference for Nonlinear Conservation Laws

    May 29, 2026Tim Weiland, Philipp HennigBayesian InferenceUncertainty Quantification

    T"{u}bingen AI Center, University of T"{u}bingen, T"{u}bingen, Germany

  40. Bayesian Inference with Shaped Deep Non-linear MLPs

    May 29, 2026Boris Hanin, Tianze JiangBayesian Neural NetworksBayesian Inference

    Princeton University

  41. On the Construction and Implications of Low-Loss Valleys in LoRA-based Bayesian Inference

    May 28, 2026Daniel Dold, Emanuel Sommer, Julius Kobialka +2Parameter-Efficient Fine-Tuning MethodsAnisotropic Loss Landscapes

    HTWG Konstanz · LMU Munich · Munich Center for Machine Learning (MCML)

  42. Deep Adaptive Dimension Reduction for Bayesian Inference in Inverse Problems

    May 28, 2026Yueyang Wang, Xili Wang, Kejun Tang +3Variational InferenceInverse Problem

    School of Mathematical Sciences, Peking University · School of Sciences, Great Bay University · Department of Mathematics, Louisiana State University +1

  43. Multi-Teacher Knowledge Distillation via Teacher-Informed Mixture Priors

    May 27, 2026Luyang Fang, Yongkai Chen, Jiazhang Cai +2Teacher-Student DistillationKnowledge Distillation

    Department of Statistics, University of Georgia · Department of Statistics, Harvard University

  44. Amortized Factor Inference Networks for Posterior Inference

    May 26, 2026Joohwan Ko, Justin DomkeBayesian InferencePosterior

    Manning College of Information and Computer Sciences University of Massachusetts Amherst

  45. Truncated Neural Likelihood Estimation for Simulation-Based Inference in State-Space Models

    May 20, 2026Kostas Tsampourakis, Víctor ElviraState Space ModelsBayesian Inference

    School of Mathematics, University of Edinburgh,, EH9 3FD, U.K.

  46. Corrected Integrated Laplace Approximation for Bayesian Inference in Latent Gaussian Models

    May 19, 2026Jinlin Lai, Charles C. Margossian, Daniel R. SheldonBayesian InferencePosterior

    Manning College of Information and Computer Sciences University of Massachusetts Amherst · Department of Statistics University of British Columbia

  47. AI4BayesCode: From Natural Language Descriptions to Validated Modular Stateful Bayesian Samplers

    May 18, 2026Jungang Zou, Alex Ziyu Jiang, Qixuan ChenMarkovian SamplingMarkov Chain Monte Carlo

    Department of Biostatistics, Columbia University

  48. SurvivalPFN: Amortizing Survival Prediction via In-Context Bayesian Inference

    May 15, 2026Shi-ang Qi, Vahid Balazadeh, Michael Cooper +2Survival AnalysisSurvival Predictions

    Vector Institute · University of Toronto · University of Alberta +1

  49. Amortized Energy-Based Bayesian Inference

    May 14, 2026Hojjat Kaveh, Ricardo Baptista, Andrew M. StuartBayesian InferenceBayesian Inverse Problems

    California Institute of Technology · University of Toronto

  50. To discretize continually: Mean shift interacting particle systems for Bayesian inference

    May 13, 2026Ayoub Belhadji, Daniel Sharp, Youssef M. MarzoukBayesian InferenceMaximum Mean Discrepancy

    Center for Computational Science and Engineering · Massachusetts Institute of Technology

  51. Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification

    May 12, 2026Julian Rodemann, Alexander Marquard, Thomas Augustin +1Bayesian Neural NetworksPosterior Predictive Distribution

    Rational Intelligence Lab, CISPA Helmholtz Center for Information Security · Department of Statistics, LMU Munich · Department of Computer Science, The University of Manchester

  52. Incentivizing Truthfulness and Collaborative Fairness in Bayesian Learning

    May 12, 2026Rachael Hwee Ling Sim, Jue Fan, Xiao Tian +3Algorithmic FairnessIncentives

    Department of Computer Science, National University of Singapore, Singapore · Agency for Science, Technology and Research (A*STAR), Singapore · Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, USA

  53. ANCHOR: Abductive Network Construction with Hierarchical Orchestration for Reliable Probability Inference in Large Language Models

    May 11, 2026Wentao Qiu, Guanran Luo, Zhongquan Jian +3Bayesian InferenceOrchestration

    School of Informatics, Xiamen University, Xiamen, China · School of Computer and Data Science, Minjiang University, Fuzhou, China · School of Film, Xiamen University, Xiamen, China +2

  54. Dystruct: Dynamically Structured Diffusion Language Model Decoding via Bayesian Inference

    May 10, 2026Bian Sun, Kevin Zhai, Mubarak Shah +1Diffusion Language ModelsDecoding

    University of Central Florida

  55. Information-Preserving Domain Transfer with Unlabeled Data in Misspecified Simulation-Based Inference

    May 7, 2026Joon Jang, Eunho Jeong, Kyu Sung Choi +1Bayesian InferenceSim-To-Real Gap

    Department of Biomedical Sciences, Seoul National University, Seoul, Republic of Korea · Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea · Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea +3

  56. Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model Priors

    May 6, 2026Badr Moufad, Albina Ilina, Hai Victor Habi +4RainfallBayesian Inference

    CMAP, Ecole Polytechnique, France · MBZUAI, UAE · School of Electrical and Computer Engineering, Tel Aviv University, Tel Aviv, Israel +2

  57. Forecasting Oncology Demand Trends with Boosting-Based Bayesian Conjugate Models

    May 6, 2026Ademir Batista dos Santos Neto, Tiago Alessandro Espinola Ferreira, Paulo Renato Alves FirminoPrognosticsBayesian Inference

  58. MIRA: A Score for Conditional Distribution Accuracy and Model Comparison

    May 3, 2026Sammy Sharief, Justine Zeghal, Gabriel Missael Barco +3Conditional DistributionBayesian Inference

    Mila – Québec AI Institute, Montreal, Quebec, Canada · Ciela Institute, Montreal, Quebec, Canada · Université de Montréal, Montreal, Quebec, Canada +4

  59. A Collective Variational Principle Unifying Bayesian Inference, Game Theory, and Thermodynamics

    Apr 30, 2026Djamel Bouchaffra, Faycal Ykhlef, Mustapha Lebbah +1Game TheoryFree Energy Principle

    1DAVID Lab, University of Paris-Saclay, UVSQ, 78035 Versailles, France. · 2TSAM, ASM, Centre for Development of Advanced Technologies, Algiers, Algeria. · 3LIPN, UMR CNRS 7030, Sorbonne Paris Nord University, Villetaneuse, France.

  60. Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models

    Apr 28, 2026Xianghao Meng, James L. Beck, Yong Huang +1Markov Chain Monte CarloBayesian Inference

    Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, China · Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, China · Division of Engineering and Applied Science, California Institute of Technology, CA, USA