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 401–410 of 2226 papers

TitleStatusHype
DART: Depth-Enhanced Accurate and Real-Time Background Matting—0
Accelerating Convergence of Stein Variational Gradient Descent via Deep UnfoldingCode0
Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling—0
BlackJAX: Composable Bayesian inference in JAXCode5
Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability—0
Semi-parametric financial risk forecasting incorporating multiple realized measures—0
Improvement and generalization of ABCD method with Bayesian inference—0
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing—0
A Factor Graph Model of Trust for a Collaborative Multi-Agent System—0
SMC Is All You Need: Parallel Strong Scaling—0
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Benchmark Results

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