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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
Accelerated Bayesian SED Modeling using Amortized Neural Posterior Estimation	Mar 14, 2022	Bayesian InferenceCPU	CodeCode Available	1
GATSBI: Generative Adversarial Training for Simulation-Based Inference	Mar 12, 2022	Bayesian Inference	CodeCode Available	1
Learning to Generalize across Domains on Single Test Samples	Feb 16, 2022	Bayesian InferenceDomain Adaptation	CodeCode Available	1
Fully Adaptive Bayesian Algorithm for Data Analysis, FABADA	Jan 13, 2022	AstronomyBayesian Inference	CodeCode Available	1
Reactive Message Passing for Scalable Bayesian Inference	Dec 25, 2021	Bayesian InferenceState Space Models	CodeCode Available	1
Transformers Can Do Bayesian Inference	Dec 20, 2021	AutoMLBayesian Inference	CodeCode Available	1
Efficient Online Bayesian Inference for Neural Bandits	Dec 1, 2021	Bayesian InferenceRecommendation Systems	CodeCode Available	1
Semi-supervised Impedance Inversion by Bayesian Neural Network Based on 2-d CNN Pre-training	Nov 20, 2021	Bayesian Inference	CodeCode Available	1
Locally Learned Synaptic Dropout for Complete Bayesian Inference	Nov 18, 2021	Bayesian Inference	CodeCode Available	1
Variational Multi-Task Learning with Gumbel-Softmax Priors	Nov 9, 2021	Bayesian InferenceMulti-Task Learning	CodeCode Available	1

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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