| 1 | A Pretrained Model for Bayesian Filtering in Heterogeneous Dynamical Systems | Ke Fan, Wen Wu, Haitao Su +3 | cs.LG | 2026-10-29 |
| 2 | OCCAMS: A Multi-Task Learning-Based Investigation of the CMB Power Spectra | Ankit Mandal, Rahul Shah, Md. Wali Hossain +3 | astro-ph.CO | 2026-10-29 |
| 3 | The Athlete as a Scientist of One: Agentic Bayesian Experimental Design for Individualized Physiology from Consumer Wearables | Behnam Moradi | cs.RO | 2026-10-29 |
| #4 | Probabilistic Meshless Methods on Manifolds | Federico Pavesi, Noémie Jaquier, Antonio Candelieri | stat.ML | 2026-10-29 |
| #5 | Possibility-based Inference: A Deterministic Framework for Robust and Reliable Uncertainty Quantification in Decision-Making | Seyedfakhredin Musavishavazi, Maryam Alipour | cs.LG | 2026-10-29 |
| #6 | Operator-Aware Posterior Sampling for Multivariate Weather Downscaling | Carlo Saccardi, Rudolf Saathof, Geethu Joseph +1 | cs.CV | 2026-10-29 |
| #7 | LLM-Assisted Optimization for Simulation-Based Redesign | Chan-Eui Song, Jeremy J. Michalek, Christopher McComb | cs.AI | 2026-10-29 |
| #8 | BASILISC: Bayesian Alignment of Siamese-Integrated Latents for Inferring Single-cell Correspondence | Sepideh Saran, Mahsa Ghanbari, Uwe Ohler | cs.LG | 2026-10-28 |
| #9 | Modular Bayesian Foundation Models: Bayesian time series encoders for OOD detection, routing and forecasting | Mame Diarra Toure, Quang Hung Pham, Mohamed Ryad Zemouri +3 | stat.ML | 2026-10-28 |
| #10 | Planned Restlessness: Delayed Meta Bandits with Budgets | Sudipto Guha | cs.LG | 2026-10-28 |
| #11 | Auditable Hierarchical Inference with Multimodal Evidence and Bayesian Active Inquiry | Yucheng Liu, Everett X. Wang | cs.LG | 2026-10-28 |
| #12 | Alpha-TCM: A Nine-Layer Framework for TCM-Guided Multimodal Inference and Structured-Prior Auditing | Yucheng Liu, Everett X. Wang | cs.LG | 2026-10-28 |
| #13 | Efficient Deep Gaussian Process Surrogates via Mini-Batch Latent MAP Estimation | Chun-Yi Chang, Chih-Li Sung | stat.ML | 2026-10-27 |
| #14 | QD-PINN:A Physics-Informed Neural Network Approach to Bayesian Quickest Detection in High-Dimensional Diffusions | Hang Ye, Yi Liu, Haipeng Xing | stat.ML | 2026-10-27 |
| #15 | Game-Theoretic Solvers with Bayesian Opponent Modeling and Moral Rhetoric Framing for GLEE | Hayden Arnold | cs.GT | 2026-10-27 |
| #16 | Anisotropic Trust Region Warping for Prior-Data Fitted Networks in Bayesian Optimisation | Samuel Younger, Tinkle Chugh, George De Ath | cs.LG | 2026-10-27 |
| #17 | AnalogScout: Simulation-Efficient PVT-Aware Analog Sizing with LLM Agents | Yichen Long, Keren Zhu | cs.AR | 2026-10-27 |
| #18 | Bayesian Inference of Expensive Simulators: Survey and Comparison of Design Choices | Šimon Soldát, Václav Šmídl | cs.LG | 2026-10-27 |
| #19 | Rènyi-Regularized Flow-Based Variational Inference for Bayesian Calibration | Exaucè Luweh Adjim Ngarti, Élise Arnaud, Léo Nicoletti +2 | cs.AI | 2026-10-27 |
| #20 | Who Knows What - and What Does It Support? Perspective-Bounded Evidence Calibration for Multimodal Theory of Mind | Ziqi Liao, Jiaqi Shen, Yiming Na +3 | cs.AI | 2026-10-27 |
| #21 | Learning Graph Beliefs for Active Radio Mapping With Decision-Certified Multi-Step Sensing | Wangqian Chen, Hao Wang, Yumeng Zhang +3 | cs.NI | 2026-10-27 |
| #22 | Image Modeling: From Handcrafted Priors to Foundation Image Models | A. Murat Tekalp | eess.IV | 2026-10-27 |
| #23 | Deep Bayesian Approaches for Interpretable Nonlinear Structural System Identification | Wei Liu, Konstantinos Vlachas, Eleni Chatzi | cs.LG | 2026-10-27 |
| #24 | The uneven rise of AI-generated web content | Adam Visokay, Soumyakanti Pan, Molly Griston +10 | cs.AI | 2026-10-27 |
| #25 | Confidence Is Not a Promise: A Reference Audit of Typed Decision Models | Pedro Carvalho Brom | cs.LG | 2026-10-26 |
| #26 | Bayesian Evidence Accumulation for Graph-Based Learning in Dynamic Data-Driven Applications Systems | Moises Ponce, Sarah Harkins Dayton, Ioannis Schizas +1 | cs.LG | 2026-10-26 |
| #27 | Dirichlet Process Mixtures within Semiparametric Bayesian Networks: A Novel Conditional Density Estimation Approach | Victor Alejandre, Pedro Larrañaga, Concha Bielza | cs.LG | 2026-10-26 |
| #28 | Evaluating Bayesian deep learning for robust biomedical time-series classification under distribution shift: A sleep scoring case study | Mads Birch Sørensen, Ulrike Richter, Francois Gastambide +1 | cs.LG | 2026-10-26 |
| #29 | Prior Predictive Matching for Bayesian LoRA | Tomasz Kuśmierczyk, Eliezer de Souza da Silva, Marcin Sendera | cs.LG | 2026-10-26 |
| #30 | AutoEnergyDesign: An LLM-Driven Agent for Automatic Energy System Design Optimization | Amedeo Buonanno, Salvatore Fabozzi, Maria Valenti | cs.AI | 2026-10-26 |
| #31 | A Graph-informed Kriging model for sample-efficient Bayesian optimization of wind farm layouts | Zhen-Fan Wang, Kai Zhang, Xianping Du +3 | cs.LG | 2026-10-26 |
| #32 | When Respondents Are Scarce: LLM-Derived Semantic Priors for Bayesian Confirmatory Factor Analysis | Shaohuai Feng, Mohd Wira Mohd Shafiei, Mohd Sukri Shafie +1 | cs.LG | 2026-10-26 |
| #33 | SlowLab: Benchmarking Autonomous AI Agents on a Year of Experiments They Cannot Undo | Ningpei Ding, Zai Wen Feng | cs.AI | 2026-10-26 |
| #34 | How Much Information Can We Fit inside a Transformer? | Amirhossein Basareh, Rishabh Sanjay, Daniel de Mello +1 | cs.AI | 2026-10-25 |
| #35 | Approximate Universal Prediction under Interaction | Richard Cornelius Suwandi | cs.LG | 2026-10-24 |
| #36 | Reinforcement Learning with Multi-Step Transition Predictions: A Bellman Theory | Chenbei Lu, Zaiwei Chen, Tongxin Li +2 | cs.LG | 2026-10-23 |
| #37 | Sparse Bayesian Neural Networks via Sticky Piecewise Deterministic Markov Processes | August Arnstad, Geir Olve Storvik, Filippo Pagani +1 | stat.ML | 2026-10-23 |
| #38 | Acquisition for Spherical-Linear Bayesian Optimization on the Cube | Nathan Wycoff | stat.ML | 2026-10-23 |
| #39 | BAARC: Uncertainty-Driven Adaptive Partial Spectral Measurement to Full Reconstruction for Material Classification | Adithya Ashok Chalain Valapil, Aishwarya Venkataramanan, Joachim Denzler | cs.LG | 2026-10-23 |
| #40 | PYTHIA, a transferable machine learning framework for simultaneous defect and adsorption site optimization | Ioannis Kouroudis, Zhaosu Gu, Poonam +2 | cs.LG | 2026-10-22 |
| #41 | SABLE: Scalable Affine Bayesian Latent-space Exploration | Erik Bodin, Lisa Maria Kreusser, Donney Fan +3 | cs.LG | 2026-10-22 |
| #42 | Dimension-free regimes for unadjusted Langevin in ridge-separable models: A subspace robust Wasserstein analysis | Yuansi Chen, Francesco Pedrotti, Peter A. Whalley | stat.ML | 2026-10-22 |
| #43 | The Bayesian Learning Rule Beyond KL Geometry | Sophia Sklaviadis, Wu Lin, Andre Martins +3 | cs.LG | 2026-10-22 |
| #44 | Prediction Uncertainty Controlled Computer Model Calibration | Ryan Heejoon Byun, Dayeon Yoon, Won Chang | stat.ML | 2026-10-22 |
| #45 | Continuous-depth Deep Gaussian Processes | Ying Li, Sanyou Wu, Zi Yang +6 | stat.ML | 2026-10-22 |
| #46 | HimmBO: High-Dimensional Interactive Model-Merging Bayesian Optimization for Image Generation | Jinyuan Mao, Zhihao Shen, Chenxi Liu | cs.CV | 2026-10-22 |
| #47 | Semi-Linear Gaussian Bayesian Networks: Enhancing Flexibility in Node Dependencies via penalized B-Splines | Aitor Oviedo-Madrid, Mabel Morales-Otero, Jose Gonzalez-Gomariz +1 | cs.AI | 2026-10-22 |
| #48 | Invisibilization as a Source of Probability Bias in Language Models | Christian Arnold, Ernesto Calvo, Guadalupe Gonzalez +2 | cs.CL | 2026-10-22 |
| #49 | Fast Iterative Combinatorial Auctions via Deep Reinforcement Learning | Luis F. Paul Tosta, Quinn Arnold, Gianluca Brero | cs.GT | 2026-10-22 |
| #50 | Decision Making and Ride Comfort Evaluation Based on Lane-Change Prediction for Autonomous Vehicles | Mohamed Manzour, Aditya Kumar, Rubén Izquierdo +1 | cs.RO | 2026-10-21 |