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 901–910 of 2226 papers

TitleStatusHype
Flexible Amortized Variational Inference in qBOLD MRICode0
Online Dynamic Parameter Estimation of an Alkaline Electrolysis System Based on Bayesian Inference—0
Variational methods for simulation-based inferenceCode0
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian InferenceCode0
Comparison of LSTM autoencoder based deep learning enabled Bayesian inference using two time series reconstruction approaches—0
Gaussian Process-based Spatial Reconstruction of Electromagnetic fields—0
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks—0
Bayesian adaptive and interpretable functional regression for exposure profilesCode0
Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI ReconstructionCode0
Rule-based Evolutionary Bayesian LearningCode0
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Benchmark Results

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