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 1021–1030 of 2226 papers

TitleStatusHype
Gaussian Process-based Spatial Reconstruction of Electromagnetic fields—0
Comparison of LSTM autoencoder based deep learning enabled Bayesian inference using two time series reconstruction approaches—0
Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI ReconstructionCode0
Bayesian adaptive and interpretable functional regression for exposure profilesCode0
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks—0
Rule-based Evolutionary Bayesian LearningCode0
IBIA: Bayesian Inference via Incremental Build-Infer-Approximate operations on Clique Trees—0
Parallel MCMC Without Embarrassing FailuresCode0
Non-Volatile Memory Accelerated Posterior Estimation—0
A Molecular Prior Distribution for Bayesian Inference Based on Wilson StatisticsCode0
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Benchmark Results

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