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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 631–640 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Bayesian posterior approximation with stochastic ensembles	Dec 15, 2022	Bayesian Inferenceimage-classification	CodeCode Available	0	5
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure	Nov 22, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	0	5
Impression learning: Online representation learning with synaptic plasticity	Dec 1, 2021	Bayesian InferenceRepresentation Learning	CodeCode Available	0	5
Improved Marginal Unbiased Score Expansion (MUSE) via Implicit Differentiation	Sep 21, 2022	Bayesian InferenceProbabilistic Programming	CodeCode Available	0	5
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows	Oct 4, 2022	Bayesian InferenceObject	CodeCode Available	0	5
Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-grained Timescales	Nov 4, 2024	Bayesian InferenceBehavioural cloning	CodeCode Available	0	5
BAMBI: blind accelerated multimodal Bayesian inference	Oct 13, 2011	Bayesian Inference	CodeCode Available	0	5
Challenges in Markov chain Monte Carlo for Bayesian neural networks	Oct 15, 2019	Bayesian Inferencevalid	CodeCode Available	0	5
Assumed Density Filtering Q-learning	Dec 9, 2017	Atari GamesBayesian Inference	CodeCode Available	0	5
Data-driven Approach for Interpolation of Sparse Data	May 2, 2025	Bayesian InferenceGaussian Processes	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