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 1991–2000 of 2226 papers

TitleStatusHype
Variational Hamiltonian Monte Carlo via Score Matching—0
Bayesian inference of natural selection from allele frequency time series—0
Statistical Mechanics of High-Dimensional Inference—0
Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis—0
The high-conductance state enables neural sampling in networks of LIF neurons—0
A Relaxed Drift Diffusion Model for Phylogenetic Trait Evolution—0
Fast Parallel SVM using Data Augmentation—0
Probabilistic Model-Based Approach for Heart Beat Detection—0
On the Differential Privacy of Bayesian Inference—0
A Theoretically Grounded Application of Dropout in Recurrent Neural NetworksCode0
Show:102550
← PrevPage 200 of 223Next →

Benchmark Results

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