Bayesian Neural Networks

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6 papers in the last 28 days · 0.1% of indexed attention

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Period ending 2026-09-21

4 new papers

A weekly snapshot of new work published in Bayesian Neural Networks.

Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Bayesian Neural Networks.

Period ending 2026-09-07

1 new paper

A weekly snapshot of new work published in Bayesian Neural Networks.

52 papers

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  1. Training Neural Networks to Approach the Optimum Bayes Estimator in Dense Multi-Emitter Localization

    Sep 17, 2026Yi Sun, Mona Sharifi, Muzna YummanBayesian Neural NetworksExpectation-Maximization

  2. Neural noise enables accurate internal simulation of rare events

    Sep 16, 2026Heng Zhang, Pawel Herman, Zenas C. ChaoBayesian Neural NetworksRecurrent Neural Networks

  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

  4. 4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling

    Sep 14, 2026Deifilia Kieckhefen, Juan Pedro Gutiérrez Hermosillo Muriedas, Lars Helge Heyen +12Artificial Intelligence Weather ModelsAtmospheric Dynamics

  5. HiBRIDGE: A Hierarchical Bayesian Neural Network Framework for Interpretable Dialogue Management in Group-Robot Interaction

    Sep 8, 2026Massimiliano Nigro, Hatice Gunes, Micol Spitale +1Human-Robot InteractionExecutable Robot Behavior

  6. Flexible Spectral-Normalized Neural Gaussian Process for Dynamic Aperture Prediction

    Sep 8, 2026Yousra El-Bachir, Frederik Van der Veken, Davide di Croce +4Gaussian ProcessBayesian Neural Networks

  7. Comment on "Modeling rapid language learning by distilling Bayesian priors into artificial neural networks"

    Aug 13, 2026Orr Well, Idan Tarshish, Nur Lan +1Bayesian Neural NetworksBayesian

  8. Uncertainty-Aware Deep Learning for Genomics Applications: Insights from an Empirical Study

    Aug 11, 2026Sepideh Saran, Mahsa Ghanbari, Uwe OhlerGenomicsBayesian Neural Networks

  9. Constrained Co-Design for Photonic Bayesian Neural Networks

    Aug 3, 2026Hendrik Borras, Xiao Wang, Bernhard Klein +4Bayesian Neural NetworksConventional Physics-Informed Neural Networks

  10. Uncertainty quantification for trustworthy deep learning: Methods and measures

    Jul 30, 2026H. Martin Gillis, Thomas TrappenbergReliable Uncertainty QuantificationBayesian Neural Networks

  11. Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance

    Jul 28, 2026Pei-Hsuan Hsia, Lars H. Heyen, Arvid Weyrauch +4Bayesian Neural NetworksVariational Inference

  12. Guiding Posterior Exploration with Optimizer-Derived Geometry

    Jul 28, 2026Moritz Schlager, Emanuel Sommer, Thomas Möllenhoff +1Bayesian Neural NetworksBayesian Optimization

  13. From Hybrid Mechanistic--Data-Driven Modeling Toward Neuro-Symbolic AI: What, Why, and How

    Jul 24, 2026Moein E. Samadi, Andreas SchuppertNeuro-Symbolic FrameworkHybrid

  14. Neural Feature Governance: Extending Atom Prevalence

    Jul 23, 2026Idris Karel Seunda Ekwe, Patrick Tenga Shako, Ernest Parfait FokouéBayesian Neural NetworksNeural Network

  15. Disentangling Model and Human Data Uncertainty in Apparent Facial Age Estimation

    Jul 17, 2026Andrei Foitos, Ivo Pascal de Jong, Matias Valdenegro-ToroBayesian Neural Networks

  16. Efficient Bayesian Deep Ensembles via Analytic Predictive Inference

    Jul 7, 2026Sina Aghaee Dabaghan Fard, Marie Maros, Jaesung LeeBayesian Neural NetworksEnsemble

  17. Width-Robust Learnability in Mean-Field Bayesian Neural Networks

    Jul 7, 2026Dmitry Vaintrob, Kaarel HänniBayesian Neural NetworksTwo-Layer Neural Networks

  18. Propagation ofInterval Belief Structures andImprecise Copulas for~Neural Network Verification

    Jun 29, 2026Francesc Pifarre-Esquerda, Eric Goubault, Sylvie PutotNeural Network VerificationBayesian Neural Networks

  19. Equivariance and Augmentation for Bayesian Neural Networks

    Jun 24, 2026Miaowen Dong, Axel Flinth, Jan E. GerkenBayesian Neural NetworksEquivariant Neural Networks

  20. Neural Conjugate Aggregation: Identifiable Unsupervised Multi-Sensor Regression under Heterogeneous Sensor Bias

    Jun 20, 2026Muhammed Faruk Aytin, Zehra Demir, Alper Ünal +2Uncertainty-Aware FusionTemporal Fusion Transformer

  21. TreeGRNG: Binary Tree Gaussian Random Number Generator for Efficient Probabilistic AI Hardware

    Jun 15, 2026Jonas Crols, Guilherme Paim, Shirui Zhao +1Bayesian Neural NetworksRandom

  22. Calibrated Sampling-Free Uncertainty Estimation in Bayesian Deep Learning

    Jun 15, 2026Tobias Jan Wieczorek, Leon de Andrade, Thomas Möllenhoff +1Bayesian Neural NetworksDeep Learning

  23. Bayesian 3D Steerable CNNs: Enabling Equivariance and Uncertainty Quantification Simultaneously

    Jun 13, 2026Abhishek Keripale, Ponkrshnan Thiagarajan, Susanta GhoshBayesian Neural NetworksReliable Uncertainty Quantification

  24. Uncertainty Estimation and Generalization Bounds for Modern Deep Learning

    Jun 11, 2026Luis A. OrtegaBayesian Neural NetworksGeneralization Bounds

  25. Function-Space Priors for Bayesian Neural ODEs with Application to Vessel Trajectory Prediction

    Jun 4, 2026Jaeyeong Lee, Wonmo Koo, Heeyoung KimNeural Ordinary Differential EquationsBayesian Neural Networks

  26. Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes

    Jun 3, 2026Bin Duan, Meiru Che, Guowei YangBayesian Neural NetworksNeural Network Verification

  27. Computation-Aware Kalman Filtering with Model Selection for Neural Dynamics

    May 31, 2026JR Huml, Jonathan Wenger, John P. CunninghamBayesian Neural NetworksState Space Models

  28. Bayesian Inference with Shaped Deep Non-linear MLPs

    May 29, 2026Boris Hanin, Tianze JiangBayesian Neural NetworksBayesian

  29. Active Continual Learning with Metaplastic Binary Bayesian Neural Networks

    May 28, 2026Kellian Cottart, Théo Ballet, Djohan Bonnet +1Active LearningBayesian Neural Networks

  30. Kernel Renormalization in Bayesian Deep Neural Networks: the Equivalent Wishart Ansatz in the Proportional Regime

    May 28, 2026Paolo Baglioni, Christian Keup, Vincenzo Zimbardo +4Bayesian Neural NetworksRenormalization Group

  31. SIKA-GP: Accelerating Gaussian Process Inference with Sparse Inducing Kernel Approximations for Bayesian Deep Learning

    May 26, 2026Wenyuan Zhao, Rui Tuo, Chao TianGaussian ProcessMulti-Gpu Systems

  32. Neuronal Stochastic Attention Circuit (NSAC) for Probabilistic Representation Learning

    May 25, 2026Waleed Razzaq, Yun-Bo ZhaoUncertainty-Aware InferenceBayesian Neural Networks

  33. On the Epistemic Uncertainty of Overparametrized Neural Networks

    May 24, 2026David RügamerOver-Parameterized Neural NetworksEpistemic Uncertainty

  34. Neural Bayesian Sequential Routing

    May 22, 2026Yongchao HuangBayesian Neural NetworksInitial Human Belief Distributions

  35. Dirichlet-Based Monte Carlo Dropout for Uncertainty Estimation in Neural Networks

    May 22, 2026Rouaa Hoblos, Noura Dridi, Noureddine Zerhouni +1Reliable Uncertainty QuantificationBayesian Neural Networks

  36. Position: The Time for Sampling Is Now! Charting a New Course for Bayesian Deep Learning

    May 20, 2026Emanuel Sommer, David RügamerBayesian Neural NetworksPosterior

  37. A Unified Framework for Uncertainty-Aware Explainable Artificial Intelligence: A Case Study in Power Quality Disturbance Classification

    May 20, 2026Yinsong Chen, Samson S. Yu, Zhong Li +1Bayesian Neural NetworksUnified Framework

  38. Training Neural Networks with Optimal Double-Bayesian Learning

    May 19, 2026Vy Bui, Hang Yu, Karthik Kantipudi +2Learning RatesStochastic Gradient Descent

  39. Federated Martingale Posterior Samping

    May 18, 2026Boning Zhang, Matteo Zecchin, Mingzhao Guo +2Bayesian Neural NetworksPosterior Sampling

  40. Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification

    May 12, 2026Julian Rodemann, Alexander Marquard, Thomas Augustin +1Bayesian Neural NetworksBayesian

  41. Posterior Contraction Rates for Sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces

    May 12, 2026Jeunghun Oh, Kyeongwon Lee, Jaeyong Lee +1Kolmogorov-Arnold NetworksBayesian Neural Networks

  42. Native Explainability for Bayesian Confidence Propagation Neural Networks: A Framework for Trusted Brain-Like AI

    May 12, 2026Georgios Makridis, Georgios Fatouros, John Soldatos +2Bayesian Neural NetworksExplainability

  43. Direct Bethe Free Energy Minimization for Bayesian Neural Networks

    May 8, 2026Pavel ProchazkaBayesian Neural NetworksBayesian

  44. Uncertainty Estimation via Hyperspherical Confidence Mapping

    May 7, 2026Eunseo Choi, Ho-Yeon Kim, Jaewon Lee +3Bayesian Neural Networks

  45. Laplace Approximation for Bayesian Tensor Network Kernel Machines

    Apr 29, 2026Albert Saiapin, Kim BatselierBayesian Neural NetworksGaussian Process

  46. Learning with Embedded Linear Equality Constraints via Variational Bayesian Inference

    Apr 27, 2026Matthew Marsh, Benoît Chachuat, Antonio del Rio ChanonaBayesian Neural NetworksVariational Inference

  47. Revisiting Neural Activation Coverage for Uncertainty Estimation

    Apr 24, 2026Benedikt Franke, Nils Förster, Frank Köster +3Bayesian Neural NetworksOut-Of-Distribution Detection

  48. Probabilistic Verification of Neural Networks via Efficient Probabilistic Hull Generation

    Apr 23, 2026Jingyang Li, Xin Chen, Hongfei Fu +1Neural Network VerificationBayesian Neural Networks

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

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

  50. An Isotropic Approach to Efficient Uncertainty Quantification with Gradient Norms

    Mar 31, 2026Nils Grünefeld, Jes Frellsen, Christian HardmeierReliable Uncertainty QuantificationPredictive Uncertainty

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

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

  52. Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks

    Mar 13, 2025Eirik Høyheim, Lars Skaaret-Lund, Solve Sæbø +1Bayesian Neural NetworksDeep Learning