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Period ending 2026-09-21

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  1. Inverting Foundation Models of Brain Function with Simulation-Based Inference

    Apr 26, 2026Niels Bracher, Xavier Intes, Stefan T. RadevWireless Foundation ModelsBayesian

  2. Zoom In, Reason Out: Efficient Far-field Anomaly Detection in Expressway Surveillance Videos via Focused VLM Reasoning Guided by Bayesian Inference

    Apr 26, 2026Xiaowei Mao, Bowen Sui, Weijie Zhang +7Video Anomaly UnderstandingAnomaly Detection

  3. Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States

    Apr 26, 2026Teng Li, Stephen Wu, Yong Huang +2Graph Neural NetworksBayesian

  4. Active Inference: A method for Phenotyping Agency in AI systems?

    Apr 25, 2026Philip Wilson, Axel Constant, Mahault Albarracin +4Artificial Intelligence GovernanceArtificial Intelligence Systems

  5. Unstable Rankings in Bayesian Deep Learning Evaluation

    Apr 25, 2026Qishi Zhan, Minxuan Hu, Guansu Wang +2Sample SizeDeep Learning

  6. Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions

    Apr 23, 2026Di Wu, Ling Liang, Haizhao YangBayesian Experimental DesignBayesian

  7. A Kernel Nonconformity Score for Multivariate Conformal Prediction

    Apr 23, 2026Louis Meyer, Wenkai XuNonconformity ScoresConformal Prediction

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

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

  9. Optimizing Diffusion Priors in Image Reconstruction from a Single Observation

    Apr 22, 2026Frederic Wang, Katherine L. BoumanDiffusion PriorsIll-Posed Inverse Problem

  10. Fast Bayesian equipment condition monitoring via simulation based inference: applications to heat exchanger health

    Apr 22, 2026Peter Collett, Alexander Johannes Stasik, Simone Casolo +1BayesianReliable Uncertainty Quantification

  11. Tokenised Flow Matching for Hierarchical Simulation Based Inference

    Apr 22, 2026Giovanni Charles, Cosmo Santoni, Seth Flaxman +1PosteriorBayesian

  12. Generative Flow Networks for Model Adaptation in Digital Twins of Natural Systems

    Apr 22, 2026Pascal Archambault, Houari Sahraoui, Eugene SyrianiDigital TwinsParameter-Efficient Adaptation

  13. On Bayesian Softmax-Gated Mixture-of-Experts Models

    Apr 22, 2026Nicola Bariletto, Huy Nguyen, Nhat Ho +1Mixture ModelsBayesian

  14. MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support

    Apr 21, 2026Yusuf Kesmen, Fay Elhassan, Jiayi Ma +7Clinical Decision SupportLarge Language Model Decision-Making

  15. Algorithm and Hardware Co-Design for Efficient Complex-Valued Uncertainty Estimation

    Apr 21, 2026Zehuan Zhang, Mark Chen, He Li +1Bayesian Neural NetworksUncertainty-Aware Inference

  16. Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors

    Apr 21, 2026Jeongwhan Choi, Jongwoo Kim, Woosung Kang +1Graph Neural NetworksGraph Representations

  17. An Efficient Spatial Branch-and-Bound Algorithm for Global Optimization of Gaussian Process Posterior Mean Functions

    Apr 21, 2026Wei-Ting Tang, Akshay Kudva, Calvin Tsay +1Gaussian ProcessBayesian Optimization

  18. Collaborative Contextual Bayesian Optimization

    Apr 20, 2026Chih-Yu Chang, Qiyuan Chen, Tianhan Gao +5Bayesian OptimizationLinear Contextual Bandits

  19. Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs

    Apr 20, 2026Kevin MurphyBayesianLinguistics

  20. Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference

    Apr 20, 2026Jonas Arruda, Sophie Chervet, Paula Staudt +6Selection BiasBayesian

  21. PAC-Bayes Bounds for Gibbs Posteriors via Singular Learning Theory

    Apr 19, 2026Chenyang Wang, Yun YangBayesianGeneralization Bounds

  22. Uncertainty Quantification in PINNs for Turbulent Flows: Bayesian Inference and Repulsive Ensembles

    Apr 18, 2026Khemraj Shukla, Zongren Zou, Theo Kaeufer +2Conventional Physics-Informed Neural NetworksTurbulence

  23. Training-inference input alignment outweighs framework choice in longitudinal retinal image prediction

    Apr 18, 2026Liyin Chen, Nazlee Zebardast, Mengyu Wang +2U-NetTraining-Inference Mismatch

  24. Noise-Adaptive Diffusion Sampling for Inverse Problems Without Task-Specific Tuning

    Apr 18, 2026Yingzhi Xia, Setthakorn Tanomkiattikun, Liangli Zhen +1Ill-Posed Inverse ProblemInverse Problem

  25. Generative Semantic Communication via Alternating Dual-Domain Posterior Sampling

    Apr 18, 2026Shunpu Tang, Qianqian YangSemantic CommunicationsPosterior Sampling

  26. When Do Early-Exit Networks Generalize? A PAC-Bayesian Theory of Adaptive Depth

    Apr 17, 2026Dongxin Guo, Jikun Wu, Siu Ming YiuGeneralization BoundsBayesian

  27. Unsupervised feature selection using Bayesian Tucker decomposition

    Apr 16, 2026Y-h. Taguchi, Yoh-ichi MototakeFeature SelectionUnsupervised

  28. Curvature-aware Expected Free Energy as an Acquisition Function for Bayesian Optimization

    Mar 27, 2026Ajith Anil Meera, Wouter KouwBayesian OptimizationCurvature-Aware Quadratic Banks

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

    Mar 22, 2026Osamu Hirose, Emanuele RodolaImage RegistrationAtlas

  30. Spatio-temporal probabilistic forecast using MMAF-guided learning

    Mar 16, 2026Leonardo Bardi, Imma Valentina Curato, Lorenzo ProiettiSpatio-Temporal ForecastingBayesian

  31. Deep probabilistic model synthesis enables unified modeling of whole-brain neural activity across individual subjects

    Mar 15, 2026William E. Bishop, Luuk W. Hesselink, Bernhard Englitz +2PosteriorSynthetic Data

  32. Is Human Annotation Necessary? Iterative MBR Distillation for Error Span Detection in Machine Translation

    Mar 13, 2026Boxuan Lyu, Haiyue Song, Zhi QuNeural Machine Translation ModelsMachine Translation

  33. Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps

    Mar 11, 2026Elizabeth Cucuzzella, Rafael Izbicki, Ann B. LeePrecipitationPosterior

  34. Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces

    Mar 9, 2026Hamish Flynn, Joe Watson, Ingmar Posner +1Gaussian ProcessEntropy Regularized Reinforcement Learning

  35. Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules

    Mar 9, 2026Jonas Landsgesell, Pascal Knoll, Tizian WenzelTabular Foundation ModelsScoring

  36. Bayesian Adversarial Privacy

    Mar 4, 2026Cameron Bell, Timothy Johnston, Antoine Luciano +1Efficient Privacy LossDifferential Privacy

  37. Randomized Kriging Believer for Parallel Bayesian Optimization with Regret Bounds

    Mar 2, 2026Shuhei Sugiura, Ichiro Takeuchi, Shion TakenoBayesian OptimizationGaussian Process

  38. Bound to Disagree: Generalization Bounds via Certifiable Surrogates

    Feb 26, 2026Mathieu Bazinet, Valentina Zantedeschi, Pascal GermainGeneralization BoundsSupervised Learning

  39. Calibrated Test-Time Guidance for Bayesian Inference

    Feb 25, 2026Daniel Geyfman, Felix Draxler, Jan Groeneveld +3PosteriorBayesian

  40. Not Just How Much, But Where: Decomposing Epistemic Uncertainty into Per-Class Contributions

    Feb 24, 2026Mame Diarra Toure, David A. StephensEpistemic UncertaintyBayesian

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

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

  42. Bayesian Quadrature

    Feb 18, 2026Maren Mahsereci, Toni KarvonenIntegralBayesian Quadrature

  43. Universal priors: solving empirical Bayes via Bayesian inference and pretraining

    Feb 16, 2026Nick Cannella, Anzo Teh, Yanjun Han +1BayesianPrior Knowledge

  44. Estimation of instrument and noise parameters for inverse problem based on prior diffusion model

    Feb 12, 2026Jean-François GiovannelliPosterior SamplingInverse Problem

  45. A Gibbs posterior sampler for inverse problem based on prior diffusion model

    Feb 11, 2026Jean-François GiovannelliPosterior SamplingGibbs Measures

  46. Correcting Boundary Bias and Observation Independence in Bayesian Experimental Design

    Feb 2, 2026Sanna Jarl, Jens Sjölund, Jonathan J. S. Scragg +1Bayesian Experimental DesignGaussian Process

  47. Inverse Problems Conditioned on Observation Ensembles: Applications and Methods

    Jan 29, 2026Zhengyan Huan, Camila Pazos, Martin Klassen +3Posterior Sampling

  48. Online Regime-aware Calibration for Black-box Social Simulators via Posterior-assisted Evolutionary Dynamic Optimization

    Jan 27, 2026Peng Yang, Zhenhua Yang, Boquan Jiang +3Evolutionary SearchEvolution

  49. Neural Architectures for Amortized Bayesian Inference: Statistical Foundations and Empirical Assessments

    Jan 12, 2026Roy Shivam Ram Shreshtth, Arnab Hazra, Gourab MukherjeeBayesian Neural NetworksBayesian

  50. Prior Diffusiveness and Regret in the Linear-Gaussian Bandit

    Jan 5, 2026Yifan Zhu, John C. Duchi, Benjamin Van RoyThompson SamplingLinear Regret

  51. SGD-Based Knowledge Distillation with Bayesian Teachers: Theory and Guidelines

    Jan 4, 2026Itai Morad, Nir Shlezinger, Yonina C. EldarKnowledge DistillationStochastic Gradient Descent

  52. Gradient Descent as Implicit EM in Distance-Based Neural Models

    Dec 31, 2025Alan OurslandExpectation-MaximizationGradient Descent

  53. JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference

    Dec 28, 2025Niels Bracher, Lars Kühmichel, Desi R. Ivanova +3Bayesian Experimental DesignBayesian

  54. Diffusion Models in Simulation-Based Inference: A Tutorial Review

    Dec 22, 2025Jonas Arruda, Niels Bracher, Ullrich Köthe +2BayesianLatent Variable

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

    Dec 15, 2025Eugenio Varetti, Matteo Torzoni, Marco Tezzele +1Digital TwinsDynamics Models

  56. Jacobian-Aware Posterior Sampling for Inverse Problems

    Nov 23, 2025Liav Hen, Tom Tirer, Raja Giryes +1Posterior SamplingDenoising Diffusion Probabilistic Model

  57. DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing

    Nov 21, 2025Hao Chen, Renzheng Zhang, Scott S. HowardDiffusion PriorsIll-Posed Inverse Problem

  58. MedBayes-Lite: A Clinical Uncertainty Governance Layer for Risk-Aware Medical Decision Support

    Nov 20, 2025Elias Hossain, Md Mehedi Hasan Nipu, Maleeha Sheikh +5Clinical PredictionBayesian

  59. Warm-Starting Iterative Gaussian Processes for Faster Sequential Inference

    Nov 20, 2025Alan Yufei Dong, Jihao Andreas Lin, José Miguel Hernández-LobatoGaussian ProcessCold-Start

  60. Graded strength of comparative illusions is explained by Bayesian inference

    Nov 18, 2025Yuhan Zhang, Erxiao Wang, Cory ShainIllusionsBayesian