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Bayesian Inference

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

Papers

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Showing 1491–1500 of 2226 papers

TitleStatusHype
Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability—0
Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts—0
Bayesian Inverse Physics for Neuro-Symbolic Robot Learning—0
A Bayesian Analysis of Dynamics in Free Recall—0
A Bayesian Approach for Accurate Classification-Based Aggregates—0
A Bayesian Approach for Discovering Time- Delayed Differential Equation from Data—0
A Bayesian Approach To Graph Partitioning—0
A Bayesian Approach to Identifying Representational Errors—0
A Bayesian Approach to Multimodal Visual Dictionary Learning—0
A Bayesian brain model of adaptive behavior: An application to the Wisconsin Card Sorting Task—0
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Benchmark Results

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