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 1291–1300 of 2226 papers

TitleStatusHype
Blindness of score-based methods to isolated components and mixing proportions—0
Assessing Safety-Critical Systems from Operational Testing: A Study on Autonomous Vehicles—0
Bayesian geoacoustic inversion using mixture density network—0
Bayesian neural networks and dimensionality reduction—0
Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems—0
BAT.jl -- A Julia-based tool for Bayesian inference—0
Complete parameter inference for GW150914 using deep learningCode1
Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes—0
Exploring Variational Deep Q NetworksCode0
The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet AllocationCode0
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Benchmark Results

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