Bayesian Inference

Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment AAAI 2026 MUSE: Multimodal Uncertainty-Based Self-Driven Evolution for Robust Physiological-Signal–Based Driver Fatigue Detection AAAI 2026 Online Bernstein-von Mises theorem JMLR 2026 On the Probabilistic Learnability of Compact Neural Network Preimage Bounds AAAI 2026 Optimal Look-back Horizon for Time Series Forecasting in Federated Learning AAAI 2026 Optimism Stabilizes Thompson Sampling for Adaptive Inference COLT 2026 PACT: Phase-Like Transition Constraints in Adapter-Based Continual Learning of Vision-Language Models CVPR 2026 PAD-Hand: Physics-Aware Diffusion for Hand Motion Recovery CVPR 2026 PAGPL: Privacy-Aware Graph Prompt Learning Scheme via Adaptive Perturbation-Estimated Topology Recovery AAAI 2026 Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification AAAI 2026 Practical Global and Local Bounds in Gaussian Process Regression via Chaining AAAI 2026 Probabilistic Hash Embeddings for Online Learning of Categorical Features AAAI 2026 Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models AAAI 2026 PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026 py/cuTAGI: An Open-Source Library for Tractable Approximate Gaussian Inference in Bayesian Neural Networks JMLR 2026 Reward Redistribution via Gaussian Process Likelihood Estimation AAAI 2026 RUL-QMoE: Multiple Non-crossing Quantile Mixture-of-Experts for Probabilistic Remaining Useful Life Predictions of Varying Battery Materials AAAI 2026 Safe Control using Learned Safety Filters and Adaptive Conformal Inference L4DC 2026 Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models AAAI 2026 Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size? AAAI 2026 Score-Based Model for Low-Rank Tensor Recovery AAAI 2026 SHARE: Synthesizing Heterogeneous Autism-support Records into Evidence-based Recommendations AAAI 2026 Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization AAAI 2026 Simulation-based Calibration of Uncertainty Intervals under Approximate Bayesian Estimation JMLR 2026 Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data AAAI 2026