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 1261–1270 of 2226 papers

TitleStatusHype
Spatio-temporal Gaussian processes modeling of dynamical systems in systems biology—0
Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors—0
Sparse species interactions reproduce abundance correlation patterns in microbial communities—0
Spectral Reconstruction with Deep Neural Networks—0
SpectraNet: Learned Recognition of Artificial Satellites From High Contrast Spectroscopic Imagery—0
Spike and slab variational Bayes for high dimensional logistic regression—0
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning—0
Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM—0
Spinal Muscle Atrophy Disease Modelling as Bayesian Network—0
Spintronics based Stochastic Computing for Efficient Bayesian Inference System—0
Show:102550
← PrevPage 127 of 223Next →

Benchmark Results

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