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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 681–690 of 2226 papers

TitleStatusHype
Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception—0
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains—0
Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networksCode0
Signatures of Bayesian inference emerge from energy efficient synapsesCode0
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks—0
Bayesian inference of composition-dependent phase diagrams—0
PAVI: Plate-Amortized Variational Inference—0
Heterogeneous Multi-Task Gaussian Cox ProcessesCode0
Deep Learning and Bayesian inference for Inverse Problems—0
A transport approach to sequential simulation-based inference—0
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Benchmark Results

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