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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 401–410 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems	Apr 5, 2022	Bayesian Inference	CodeCode Available	0	5
Detecting structural perturbations from time series with deep learning	Jun 9, 2020	Bayesian InferenceDeep Learning	CodeCode Available	0	5
Batch Bayesian optimisation via density-ratio estimation with guarantees	Sep 22, 2022	Bayesian InferenceBayesian Optimisation	CodeCode Available	0	5
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain	Dec 1, 2021	Bayesian Inferenceregression	CodeCode Available	0	5
A Novel Deterministic Framework for Non-probabilistic Recommender Systems	Sep 2, 2018	Bayesian InferenceCollaborative Filtering	CodeCode Available	0	5
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up	May 6, 2024	Bayesian InferenceHyperparameter Optimization	CodeCode Available	0	5
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	0	5
Functional Variational Bayesian Neural Networks	Mar 14, 2019	Bayesian InferenceGaussian Processes	CodeCode Available	0	5
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya	May 31, 2023	Bayesian Inference	CodeCode Available	0	5
deBInfer: Bayesian inference for dynamical models of biological systems in R	Oct 15, 2016	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