SOTAVerified

Bayesian Inference

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1541–1550 of 2226 papers

TitleStatusHype
Learning Curves for Deep Neural Networks: A field theory perspective—0
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)—0
Mixture Distributions for Scalable Bayesian Inference—0
Quantifying uncertainty with GAN-based priors—0
A Peek into the Unobservable: Hidden States and Bayesian Inference for the Bitcoin and Ether Price Series—0
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control—0
Learn to Estimate Labels Uncertainty for Quality Assurance—0
Compositional uncertainty in deep Gaussian processesCode0
Bayesian inference of species trees using diffusion modelsCode0
Prediction Uncertainty Estimation for Hate Speech Classification—0
Show:102550
← PrevPage 155 of 223Next →

Benchmark Results

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