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 1041–1050 of 2226 papers

TitleStatusHype
Bayesian inference and superstatistics to describe long memory processes of financial time series—0
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation—0
Bayesian inference and role of astrocytes in amyloid-beta dynamics with modelling of Alzheimer's disease using clinical data—0
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics—0
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits—0
Dirichlet Bayesian Network Scores and the Maximum Relative Entropy Principle—0
Dimension reduction via score ratio matching—0
Bayesian inference and neural estimation of acoustic wave propagation—0
A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation—0
A Deeper Look at the Unsupervised Learning of Disentangled Representations in β-VAE from the Perspective of Core Object Recognition—0
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Benchmark Results

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