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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 1821–1830 of 2226 papers

Title	Date	Tasks	Status	Hype
Bayesian adaptive and interpretable functional regression for exposure profiles	Mar 1, 2022	Bayesian Inferenceregression	CodeCode Available	0
Compositional simulation-based inference for time series	Nov 5, 2024	Bayesian InferenceEpidemiology	CodeCode Available	0
Bayesian Importance of Features (BIF)	Oct 26, 2020	Bayesian InferenceBIG-bench Machine Learning	CodeCode Available	0
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems	May 28, 2019	Bayesian InferenceZero-Shot Learning	CodeCode Available	0
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks	Nov 10, 2020	Adversarial AttackBayesian Inference	CodeCode Available	0
q-Paths: Generalizing the Geometric Annealing Path using Power Means	Jul 1, 2021	Bayesian Inference	CodeCode Available	0
A Bayesian Perspective on the Deep Image Prior	Apr 16, 2019	Bayesian InferenceDenoising	CodeCode Available	0
Uncertainty Propagation in the Fast Fourier Transform	Apr 14, 2025	Bayesian Inference	CodeCode Available	0
The Reciprocal Bayesian LASSO	Jan 23, 2020	Bayesian InferenceModel Selection	CodeCode Available	0
Quantifying tissue growth, shape and collision via continuum models and Bayesian inference	Feb 6, 2023	Bayesian Inference	CodeCode Available	0

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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