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 831–840 of 2226 papers

TitleStatusHype
Consciousness is entailed by compositional learning of new causal structures in deep predictive processing systems—0
Reinforcement Learning Enhanced PicHunter for Interactive Search—0
Geometric Ergodicity in Modified Variations of Riemannian Manifold and Lagrangian Monte Carlo—0
On Sequential Bayesian Inference for Continual LearningCode0
Relative Probability on Finite Outcome Spaces: A Systematic Examination of its Axiomatization, Properties, and Applications—0
Bayesian Interpolation with Deep Linear Networks—0
Do Bayesian Variational Autoencoders Know What They Don't Know?Code0
The Inverse of Exact Renormalization Group Flows as Statistical Inference—0
Bistable perception, precision and neuromodulationCode0
Bayesian posterior approximation with stochastic ensemblesCode0
Show:102550
← PrevPage 84 of 223Next →

Benchmark Results

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