SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 691–700 of 2226 papers

TitleStatusHype
Hierarchical Bayesian inference for community detection and connectivity of functional brain networksCode0
Consciousness is entailed by compositional learning of new causal structures in deep predictive processing systems—0
Reinforcement Learning Enhanced PicHunter for Interactive Search—0
On Sequential Bayesian Inference for Continual LearningCode0
Geometric Ergodicity in Modified Variations of Riemannian Manifold and Lagrangian Monte Carlo—0
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
Physics-Informed Gaussian Process Regression Generalizes Linear PDE SolversCode1
The Inverse of Exact Renormalization Group Flows as Statistical Inference—0
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Benchmark Results

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