Bayesian & Probabilistic

py/cuTAGI: An Open-Source Library for Tractable Approximate Gaussian Inference in Bayesian Neural Networks JMLR 2026 Quantification of Credal Uncertainty: A Distance-Based Approach UAI 2026 Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence ACL 2026 RaUF: Learning the Spatial Uncertainty Field of Radar CVPR 2026 Readers make targeted regressions to plausible errors in reanalysis of “noisy-channel garden-path” sentences CoNLL 2026 ReBaPL: Repulsive Bayesian Prompt Learning CVPR 2026 Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective AAAI 2026 Robust Bayesian Decision Making under Adversarial Uncertainty UAI 2026 Robust estimation of graphical models with measurement error: False discovery control and sensitivity analysis UAI 2026 Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features UAI 2026 Sabancigroup4 at SemEval-2026 Task 5: Uncertainty-Aware Semantic Plausibility Scoring via GNLL Regression and LLM Rationales SemEval 2026 Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization AAAI 2026 Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models AAAI 2026 Scaling Up Bayesian DAG Sampling UAI 2026 SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design AAAI 2026 SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning AAAI 2026 Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study UAI 2026 SGPMIL: Sparse Gaussian Process Multiple Instance Learning WACV 2026 Similarity-Consistent Likelihood Diffusion enables Hidden Person Detection from Wall Reflections CVPR 2026 Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process Classification UAI 2026 Simulation-based Calibration of Uncertainty Intervals under Approximate Bayesian Estimation JMLR 2026 Smoothing the Landscape: Causal Structure Learning via Diffusion Denoising Objectives CLeaR 2026 Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data AAAI 2026 Spectral Conformal Risk Control: Distribution-Free Tail Guarantees via Bayesian Quadrature CVPR 2026 Streaming Generated Gaussian Process Experts for Online Learning and Control AAAI 2026