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 751–760 of 2226 papers

TitleStatusHype
A compartmental model for Xylella fastidiosa diseases with explicit vector seasonal dynamics—0
Deep Generative Models for Bayesian Inference on High-Rate Sensor Data: Applications in Automotive Radar and Medical Imaging—0
Deep importance sampling using tensor trains with application to a priori and a posteriori rare event estimation—0
Biases and Variability from Costly Bayesian Inference—0
Bézier Curve Gaussian Processes—0
Deep Learning Aided Laplace Based Bayesian Inference for Epidemiological Systems—0
Deep Learning and Bayesian inference for Inverse Problems—0
Bayesian Eye Tracking—0
Bayesian feature selection with strongly-regularizing priors maps to the Ising Model—0
Attention-Aware Answers of the Crowd—0
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Benchmark Results

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