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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths AAAI 2026

Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees AAAI 2026

CP-Router: An Uncertainty-Aware Router Between LLM and LRM AAAI 2026

ECD: Evidence-guided Contrastive Decoding in Retrieval-Augmented Generation with Accurate Knowledge Reference Adjustment AAAI 2026

Efficient Hallucination Detection: Adaptive Bayesian Estimation of Semantic Entropy with Guided Semantic Exploration AAAI 2026

Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild AAAI 2026

Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models AAAI 2026

Behavior Regularization with Flow Latent Policy for Offline Reinforcement Learning AAAI 2026

Reward Redistribution via Gaussian Process Likelihood Estimation AAAI 2026

Optimal Look-back Horizon for Time Series Forecasting in Federated Learning AAAI 2026

Universal EEG Epilepsy Detection via Evidential Multi-View De-Biasing AAAI 2026

Uncovering Hidden Degeneration: A Physics-Guided Bidirectional Inference Framework for Industrial Time Series Prediction AAAI 2026

Impute Missing Entries with Uncertainty AAAI 2026

Flow-Induced Diagonal Gaussian Processes AAAI 2026

Practical Global and Local Bounds in Gaussian Process Regression via Chaining AAAI 2026

Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes AAAI 2026

Full-Atom Peptide Design via Riemannian–Euclidean Bayesian Flow Networks AAAI 2026

Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data AAAI 2026

PAGPL: Privacy-Aware Graph Prompt Learning Scheme via Adaptive Perturbation-Estimated Topology Recovery AAAI 2026

Variational OOD State Correction for Offline Reinforcement Learning AAAI 2026

FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs AAAI 2026

FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data AAAI 2026

Score-Based Model for Low-Rank Tensor Recovery AAAI 2026

Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization AAAI 2026

Veli: Unsupervised Method and Unified Benchmark for Low-Cost Air Quality Sensor Correction AAAI 2026