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 1811–1820 of 2226 papers

TitleStatusHype
Weighted Community Detection and Data Clustering Using Message Passing—0
A Review of Multiple Try MCMC algorithms for Signal Processing—0
A Distributed Framework for the Construction of Transport Maps—0
Bayesian reconstruction of HIV transmission trees from viral sequences and uncertain infection times—0
Experimentally detecting a quantum change point via Bayesian inference—0
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification—0
Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections—0
Gaussian Process Neurons—0
Interpreting Deep Classification Models With Bayesian Inference—0
A Scalable Laplace Approximation for Neural NetworksCode0
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Benchmark Results

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