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 321–330 of 2226 papers

TitleStatusHype
Bayesian inference for dynamic spatial quantile models with interactive effects—0
Multi-model Stochastic Particle-based Variational Bayesian Inference for Multiband Delay Estimation—0
Modeling cell differentiation in neuroblastoma: insights into development, malignancy, and treatment relapse—0
Dynamics on Lie groups with applications to attitude estimation—0
AI-Powered Bayesian Inference—0
Near-Optimal Approximations for Bayesian Inference in Function SpaceCode0
Near-Field Motion Parameter Estimation: A Variational Bayesian Approach—0
Confidence Estimation via Sequential Likelihood Mixing—0
Generalization Certificates for Adversarially Robust Bayesian Linear Regression—0
Evidence of Replica Symmetry Breaking under the Nishimori conditions in epidemic inference on graphs—0
Show:102550
← PrevPage 33 of 223Next →

Benchmark Results

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