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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 351–360 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings	Feb 27, 2017	Bayesian InferenceClassification	CodeCode Available	0	5
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
Bayesian adaptive and interpretable functional regression for exposure profiles	Mar 1, 2022	Bayesian Inferenceregression	CodeCode Available	0	5
Bayesian Conditional Density Filtering	Jan 15, 2014	Bayesian Inference	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 learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya	May 31, 2023	Bayesian Inference	CodeCode Available	0	5
Bayesian Convolutional Neural Networks for Compressed Sensing Restoration	Feb 24, 2019	Bayesian Inferencecompressed sensing	CodeCode Available	0	5
Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference	Jun 15, 2018	Bayesian InferenceGeneral Classification	CodeCode Available	0	5
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation	Jun 18, 2015	Bayesian InferencePosition	CodeCode Available	0	5
Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data	Jun 20, 2021	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