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Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 481–490 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya	May 31, 2023	Bayesian Inference	CodeCode Available	0	5
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms	May 25, 2023	Bayesian InferenceImage Deconvolution	CodeCode Available	0	5
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up	May 6, 2024	Bayesian InferenceHyperparameter Optimization	CodeCode Available	0	5
NFAD: Fixing anomaly detection using normalizing flows	Dec 19, 2019	Anomaly DetectionBayesian Inference	CodeCode Available	0	5
Deep Neural Networks as Gaussian Processes	Nov 1, 2017	Bayesian InferenceGaussian Processes	CodeCode Available	0	5
Object proposal generation applying the distance dependent Chinese restaurant process	Apr 12, 2017	Bayesian InferenceObject	CodeCode Available	0	5
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inference	Sep 30, 2024	Bayesian InferenceContinual Learning	CodeCode Available	0	5
On Kalman-Bucy filters, linear quadratic control and active inference	May 13, 2020	Bayesian Inference	CodeCode Available	0	5
Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference	Oct 1, 2021	Bayesian Inference	CodeCode Available	0	5
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	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