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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 21–30 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Scalable Spatiotemporal Prediction with Bayesian Neural Fields	Mar 12, 2024	Bayesian InferenceDemand Forecasting	CodeCode Available	2	5
Bayesian differential programming for robust systems identification under uncertainty	Apr 15, 2020	Bayesian InferenceModel Discovery	CodeCode Available	1	5
Bayesian continual learning and forgetting in neural networks	Apr 18, 2025	Bayesian InferenceContinual Learning	CodeCode Available	1	5
Bayesian Diffusion Models for 3D Shape Reconstruction	Mar 11, 2024	3D Reconstruction3D Shape Reconstruction	CodeCode Available	1	5
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference	Oct 17, 2023	Bayesian InferenceImage Generation	CodeCode Available	1	5
A Bayesian algorithm for retrosynthesis	Mar 6, 2020	Bayesian InferenceCombinatorial Optimization	CodeCode Available	1	5
BayesFlow: Learning complex stochastic models with invertible neural networks	Mar 13, 2020	Bayesian InferenceEpidemiology	CodeCode Available	1	5
Bayesian Adversarial Human Motion Synthesis	Jun 1, 2020	Bayesian InferenceData Augmentation	CodeCode Available	1	5
Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective	Jul 1, 2020	Bayesian Inference	CodeCode Available	1	5
BayesDLL: Bayesian Deep Learning Library	Sep 22, 2023	Bayesian InferenceDeep Learning	CodeCode Available	1	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