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 581–590 of 2226 papers

TitleStatusHype
Attentional Prototype Inference for Few-Shot SegmentationCode0
Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for PaleoceanographyCode0
Data-driven Approach for Interpolation of Sparse DataCode0
Data Subsampling for Bayesian Neural NetworksCode0
Bidirectional Convolutional Poisson Gamma Dynamical SystemsCode0
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in NeuroimagingCode0
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian InferenceCode0
Bayesian PseudocoresetsCode0
ELBOing Stein: Variational Bayes with Stein Mixture InferenceCode0
Measuring Uncertainty through Bayesian Learning of Deep Neural Network StructureCode0
Show:102550
← PrevPage 59 of 223Next →

Benchmark Results

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