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Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 1061–1070 of 2226 papers

TitleStatusHype
Bayesian reconstruction of HIV transmission trees from viral sequences and uncertain infection times—0
A Closer Look at Disentangling in β-VAE—0
Bayesian Reasoning with Trained Neural Networks—0
A Stochastic Particle Variational Bayesian Inference Inspired Deep-Unfolding Network for Non-Convex Parameter Estimation—0
Meta-Posterior Consistency for the Bayesian Inference of Metastable System—0
Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping—0
Hamiltonian Adaptive Importance Sampling—0
Hierarchical Bayesian myocardial perfusion quantification—0
Bayesian Probabilistic Matrix Factorization—0
Bayesian Predictive Coding—0
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Benchmark Results

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