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 301–310 of 2226 papers

TitleStatusHype
Accelerated Stein Variational Gradient FlowCode0
DeepRV: pre-trained spatial priors for accelerated disease mapping—0
Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data—0
E-PINNs: Epistemic Physics-Informed Neural Networks—0
AutoBayes: A Compositional Framework for Generalized Variational Inference—0
Bayesian Teaching Enables Probabilistic Reasoning in Large Language Models—0
SuperARC: An Agnostic Test for Narrow, General, and Super Intelligence Based On the Principles of Recursive Compression and Algorithmic ProbabilityCode0
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems—0
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble—0
Simulation-based Bayesian inference under model misspecification—0
Show:102550
← PrevPage 31 of 223Next →

Benchmark Results

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