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Bayesian Inference

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2121–2130 of 2226 papers

Title	Date	Tasks	Status	Hype
Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI Reconstruction	Mar 1, 2022	Bayesian Inferencecompressed sensing	CodeCode Available	0
Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables	Jun 11, 2019	Bayesian InferenceVariational Inference	CodeCode Available	0
Impression learning: Online representation learning with synaptic plasticity	Dec 1, 2021	Bayesian InferenceRepresentation Learning	CodeCode Available	0
Bayesian inference of infected patients in group testing with prevalence estimation	Apr 28, 2020	Bayesian Inference	CodeCode Available	0
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes	Apr 10, 2017	Bayesian Inferencecounterfactual	CodeCode Available	0
ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning	Feb 15, 2021	Bayesian InferenceDeep Reinforcement Learning	CodeCode Available	0
Improved Marginal Unbiased Score Expansion (MUSE) via Implicit Differentiation	Sep 21, 2022	Bayesian InferenceProbabilistic Programming	CodeCode Available	0
Variational Reformulation of Bayesian Inverse Problems	Oct 21, 2014	Bayesian InferenceComputational Efficiency	CodeCode Available	0
Segmentation with Noisy Labels via Spatially Correlated Distributions	Apr 21, 2025	Bayesian InferenceSemantic Segmentation	CodeCode Available	0
Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations	May 3, 2019	Bayesian InferenceBayesian Optimisation	CodeCode Available	0

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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