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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 241–250 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms	Nov 8, 2018	Bayesian Inferenceparameter estimation	CodeCode Available	0	5
Adversarial robustness of amortized Bayesian inference	May 24, 2023	Adversarial RobustnessBayesian Inference	CodeCode Available	0	5
AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling	Dec 1, 2019	Bayesian InferenceDeblurring	CodeCode Available	0	5
Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference	Oct 1, 2021	Bayesian Inference	CodeCode Available	0	5
Are Bayesian neural networks intrinsically good at out-of-distribution detection?	Jul 26, 2021	Bayesian InferenceOut-of-Distribution Detection	CodeCode Available	0	5
A General Framework for Uncertainty Estimation in Deep Learning	Jul 16, 2019	Autonomous DrivingBayesian Inference	CodeCode Available	0	5
Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables	Jun 11, 2019	Bayesian InferenceVariational Inference	CodeCode Available	0	5
Data-driven Approach for Interpolation of Sparse Data	May 2, 2025	Bayesian InferenceGaussian Processes	CodeCode Available	0	5
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data	Dec 3, 2015	Bayesian InferenceCommon Sense Reasoning	CodeCode Available	0	5
Adversarial α-divergence Minimization for Bayesian Approximate Inference	Sep 13, 2019	Bayesian Inference	CodeCode Available	0	5

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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