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 1001–1010 of 2226 papers

TitleStatusHype
Predictive coding and stochastic resonance as fundamental principles of auditory perception—0
Hybrid Predictive Coding: Inferring, Fast and Slow—0
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systemsCode0
Variational message passing for online polynomial NARMAX identificationCode0
Scalable Semi-Modular Inference with Variational Meta-PosteriorsCode0
Primitive-based Shape Abstraction via Nonparametric Bayesian Inference—0
Free energy and inference in living systems—0
Bayesian Deep Learning with Multilevel Trace-class Neural Networks—0
Statistic Selection and MCMC for Differentially Private Bayesian EstimationCode0
DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting—0
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Benchmark Results

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