SOTAVerified|Agents Browse Leaderboard About

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 171–180 of 2226 papers

Title	Date	Tasks	Status	Hype
Fully Adaptive Bayesian Algorithm for Data Analysis, FABADA	Jan 13, 2022	AstronomyBayesian Inference	CodeCode Available	1
GAN-based Priors for Quantifying Uncertainty	Mar 27, 2020	Bayesian InferenceDenoising	CodeCode Available	1
Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data	Mar 4, 2021	Bayesian InferenceGaussian Processes	CodeCode Available	1
Gaussian process learning of nonlinear dynamics	Dec 19, 2023	Bayesian Inferenceparameter estimation	CodeCode Available	1
BayesDLL: Bayesian Deep Learning Library	Sep 22, 2023	Bayesian InferenceDeep Learning	CodeCode Available	1
Laplacian Autoencoders for Learning Stochastic Representations	Jun 30, 2022	Bayesian InferenceOut-of-Distribution Detection	CodeCode Available	1
Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning	Sep 12, 2023	Bayesian Inference	CodeCode Available	1
Learning to Generalize across Domains on Single Test Samples	Feb 16, 2022	Bayesian InferenceDomain Adaptation	CodeCode Available	1
Locally Learned Synaptic Dropout for Complete Bayesian Inference	Nov 18, 2021	Bayesian Inference	CodeCode Available	1
BayesianFitForecast: A User-Friendly R Toolbox for Parameter Estimation and Forecasting with Ordinary Differential Equations	Nov 8, 2024	Bayesian InferenceDecision Making	CodeCode Available	1

Show:10 25 50

← PrevPage 18 of 223Next →

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	F-SWA	Accuracy	83.61	—	Unverified
2	F-SWAG	Accuracy	80.93	—	Unverified