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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 101–110 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation	Dec 15, 2023	Bayesian InferenceState Space Models	CodeCode Available	1	5
Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJα Model	Jul 10, 2020	Bayesian Inference	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
Variational multiple shooting for Bayesian ODEs with Gaussian processes	Jun 21, 2021	Bayesian InferenceGaussian Processes	CodeCode Available	1	5
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting	Nov 3, 2023	Bayesian InferenceTime Series	CodeCode Available	1	5
Bayesian neural networks via MCMC: a Python-based tutorial	Apr 2, 2023	Bayesian InferenceDeep Learning	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 approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variable	Feb 3, 2021	3D ReconstructionBayesian Inference	CodeCode Available	1	5
Bayesian inference for logistic models using Polya-Gamma latent variables	May 2, 2012	Bayesian InferenceComputational Efficiency	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