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Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 151–175 of 2226 papers

TitleStatusHype
FLORA: Formal Language Model Enables Robust Training-free Zero-shot Object Referring Analysis—0
Tutorial: VAE as an inference paradigm for neuroimaging—0
Distilling Calibration via Conformalized Credal Inference—0
Comparing latent inequality with ordinal data—0
Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse ProblemsCode2
A Bayesian Approach for Discovering Time- Delayed Differential Equation from Data—0
Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals—0
Generative Emergent Communication: Large Language Model is a Collective World Model—0
Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive ModelsCode0
An Anomaly Detection System Based on Generative Classifiers for Controller Area Network—0
Exploiting Dynamic Sparsity for Near-Field Spatial Non-Stationary XL-MIMO Channel Tracking—0
Variational Bayesian Inference for Tensor Robust Principal Component Analysis—0
Generative Modeling: A Review—0
Transport Quasi-Monte Carlo—0
Stochastic Model of siRNA Endosomal Escape Mediated by Fusogenic Peptides in OVCAR-3Code0
Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles—0
Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control—0
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference—0
Relational Neurosymbolic Markov Models—0
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive HierarchyCode0
A partial likelihood approach to tree-based density modeling and its application in Bayesian inference—0
Information-Geometric Barycenters for Bayesian Federated Learning—0
Bayesian inference of mean velocity fields and turbulence models from flow MRI—0
Adaptive Nonparametric Perturbations of Parametric Bayesian ModelsCode0
BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61—Unverified
2F-SWAGAccuracy80.93—Unverified