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 1101–1110 of 2226 papers

TitleStatusHype
Deep Learning Surrogates for Real-Time Gas Emission Inversion—0
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing—0
Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI—0
Bayesian feature selection with strongly-regularizing priors maps to the Ising Model—0
Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals—0
Deep Learning and Bayesian inference for Inverse Problems—0
Bayesian Eye Tracking—0
Deep Learning Aided Laplace Based Bayesian Inference for Epidemiological Systems—0
Deep Knowledge Tracing with Learning Curves—0
Bayesian Exponential Family PCA—0
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Benchmark Results

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