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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 1401–1410 of 2226 papers

TitleStatusHype
Probabilistic Object Classification using CNN ML-MAP layers—0
VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics—0
Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis—0
Model Evidence with Fast Tree Based QuadratureCode0
Is there a wave excitation in the Thalamus?—0
Variational Inference as Iterative Projection in a Bayesian Hilbert Space with Application to Robotic State Estimation—0
Building general Langevin models from discrete data sets—0
On Kalman-Bucy filters, linear quadratic control and active inferenceCode0
Data-Driven Verification under Signal Temporal Logic Constraints—0
Amortized Bayesian Inference for Models of Cognition—0
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Benchmark Results

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