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 1211–1220 of 2226 papers

TitleStatusHype
High-Performance FPGA-based Accelerator for Bayesian Neural Networks—0
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference—0
Deep Neural Networks as Point Estimates for Deep Gaussian Processes—0
Bayesian inference and superstatistics to describe long memory processes of financial time series—0
Laplace Matching for fast Approximate Inference in Latent Gaussian ModelsCode0
MCMC-driven importance samplers—0
Bayesian Logistic Shape Model Inference: application to cochlea image segmentation—0
Consumer Demand Modeling During COVID-19 Pandemic—0
Regularizing Explanations in Bayesian Convolutional Neural Networks—0
Invariant polynomials and machine learningCode0
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Benchmark Results

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