Bayesian Inference

Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing CVPR 2025 Improving Generalization with Flat Hilbert Bayesian Inference ICML 2025 Improving Uncertainty Estimation through Semantically Diverse Language Generation ICLR 2025 Improving Uncertainty Estimation with Confidence-Aware Training Data WACV 2025 Inferring Change Points in High-Dimensional Regression via Approximate Message Passing JMLR 2025 Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection JMLR 2025 Information-Based Exploration via Random Features for Reinforcement Learning ACML 2025 Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime COLT 2025 Injective flows for star-like manifolds ICLR 2025 InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly ICLR 2025 Integrating Inference and Experimental Design for Contextual Behavioral Model Learning AAAI 2025 Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization EMNLP 2025 Inverse decision-making using neural amortized Bayesian actors ICLR 2025 Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo ICML 2025 Inverse Problems with Diffusion Models: A MAP Estimation Perspective WACV 2025 Inverse problems with experiment-guided AlphaFold ICML 2025 Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs? AISTATS 2025 JHU IWSLT 2025 Low-resource System Description ACL 2025 KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems ICML 2025 Kernel Learning for Sample Constrained Black-Box Optimization AAAI 2025 KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction EMNLP 2025 Kinodynamic Trajectory Following with STELA: Simultaneous Trajectory Estimation & Local Adaptation RSS 2025 KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks ICLR 2025 K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences CVPR 2025 Label Calibration in Source Free Domain Adaptation WACV 2025