SOTAVerified

Bayesian Inference

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

Papers

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Showing 1181–1190 of 2226 papers

TitleStatusHype
Variational Inference for Deblending Crowded StarfieldsCode1
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problemsCode0
A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variableCode1
Bayesian data-driven discovery of partial differential equations with variable coefficients—0
Bayesian Neural Networks for Virtual Flow Metering: An Empirical StudyCode0
Modeling German Word Order Acquisition via Bayesian Inference—0
Human Inference in Changing Environments With Temporal Structure—0
Fundamental limits and algorithms for sparse linear regression with sublinear sparsity—0
Bayesian hierarchical stacking: Some models are (somewhere) usefulCode1
Bayesian Inference ForgettingCode0
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Benchmark Results

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