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 561–570 of 2226 papers

TitleStatusHype
Latent SDEs on Homogeneous SpacesCode0
Representation Learning via Variational Bayesian Networks—0
BayesFlow: Amortized Bayesian Workflows With Neural NetworksCode2
Predictive Coding beyond Correlations—0
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of ThoughtCode2
Bayesian inference and role of astrocytes in amyloid-beta dynamics with modelling of Alzheimer's disease using clinical data—0
A Hierarchical Bayesian Model for Deep Few-Shot Meta LearningCode0
A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias—0
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning—0
Bayesian Inverse Contextual Reasoning for Heterogeneous Semantics-Native Communication—0
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Benchmark Results

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