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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 611–620 of 2226 papers

TitleStatusHype
Bayesian reconstruction of memories stored in neural networks from their connectivityCode0
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-upCode0
Bayesian PseudocoresetsCode0
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in KenyaCode0
Measuring Uncertainty through Bayesian Learning of Deep Neural Network StructureCode0
Data Subsampling for Bayesian Neural NetworksCode0
Debiased Bayesian inference for average treatment effectsCode0
Bayesian Prediction of Future Street Scenes using Synthetic LikelihoodsCode0
Data-driven Approach for Interpolation of Sparse DataCode0
deBInfer: Bayesian inference for dynamical models of biological systems in RCode0
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Benchmark Results

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