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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 111–120 of 2226 papers

Title	Date	Tasks	Status	Hype
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees	Nov 2, 2021	Bayesian InferenceGaussian Processes	CodeCode Available	1
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks	Nov 2, 2021	Bayesian InferenceChange Point Detection	CodeCode Available	1
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations	Oct 22, 2021	Bayesian Inference	CodeCode Available	1
Pick-and-Mix Information Operators for Probabilistic ODE Solvers	Oct 20, 2021	Bayesian Inference	CodeCode Available	1
Unsupervised Source Separation via Bayesian Inference in the Latent Domain	Oct 11, 2021	Audio Source SeparationBayesian Inference	CodeCode Available	1
Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference	Aug 6, 2021	Bayesian InferenceForm	CodeCode Available	1
Neural Variational Gradient Descent	Jul 22, 2021	Bayesian Inferenceregression	CodeCode Available	1
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks	Jul 12, 2021	AllBayesian Inference	CodeCode Available	1
Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework	Jul 7, 2021	Bayesian Inference	CodeCode Available	1
Repulsive Deep Ensembles are Bayesian	Jun 22, 2021	Bayesian InferenceDiversity	CodeCode Available	1

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	F-SWA	Accuracy	83.61	—	Unverified
2	F-SWAG	Accuracy	80.93	—	Unverified