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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 621–630 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	0	5
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability	Oct 20, 2023	Bayesian InferenceUncertainty Quantification	CodeCode Available	0	5
Bayesian posterior approximation with stochastic ensembles	Dec 15, 2022	Bayesian Inferenceimage-classification	CodeCode Available	0	5
Data-driven Approach for Interpolation of Sparse Data	May 2, 2025	Bayesian InferenceGaussian Processes	CodeCode Available	0	5
Generalised Bayesian distance-based phylogenetics for the genomics era	Feb 6, 2025	Bayesian Inference	CodeCode Available	0	5
Generalised Bayesian Inference for Discrete Intractable Likelihood	Jun 16, 2022	Bayesian Inference	CodeCode Available	0	5
Amortized Bayesian inference for clustering models	Nov 24, 2018	Bayesian InferenceClustering	CodeCode Available	0	5
Bayesian Floor Field: Transferring people flow predictions across environments	Aug 23, 2022	Bayesian Inference	CodeCode Available	0	5
Gradient-Free Adversarial Attacks for Bayesian Neural Networks	Dec 23, 2020	Adversarial RobustnessBayesian Inference	CodeCode Available	0	5
Assumed Density Filtering Q-learning	Dec 9, 2017	Atari GamesBayesian 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