SOTAVerified

Bayesian Inference

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

Papers

Showing 15211530 of 2226 papers

TitleStatusHype
Deep Bayesian Structure NetworksCode0
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)0
A Peek into the Unobservable: Hidden States and Bayesian Inference for the Bitcoin and Ether Price Series0
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control0
Learn to Estimate Labels Uncertainty for Quality Assurance0
Compositional uncertainty in deep Gaussian processesCode0
Bayesian inference of species trees using diffusion modelsCode0
Prediction Uncertainty Estimation for Hate Speech Classification0
GAN priors for Bayesian inference0
Adversarial α-divergence Minimization for Bayesian Approximate InferenceCode0
Show:102550
← PrevPage 153 of 223Next →

Benchmark Results

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