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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 471–480 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
BAMBI: blind accelerated multimodal Bayesian inference	Oct 13, 2011	Bayesian Inference	CodeCode Available	0	5
Mutually Regressive Point Processes	Dec 1, 2019	Bayesian InferencePoint Processes	CodeCode Available	0	5
Near-Optimal Approximations for Bayesian Inference in Function Space	Feb 25, 2025	Bayesian Inference	CodeCode Available	0	5
Negative Binomial Process Count and Mixture Modeling	Sep 15, 2012	Bayesian Inference	CodeCode Available	0	5
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows	Oct 4, 2022	Bayesian InferenceObject	CodeCode Available	0	5
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Exploration in Reinforcement Learning	May 29, 2018	Bayesian Inferencereinforcement-learning	CodeCode Available	0	5
Bayesian Inference with Certifiable Adversarial Robustness	Feb 10, 2021	Adversarial RobustnessBayesian Inference	CodeCode Available	0	5
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons	Dec 1, 2017	Bayesian InferenceDecoder	CodeCode Available	0	5
A Bayesian Perspective on the Deep Image Prior	Apr 16, 2019	Bayesian InferenceDenoising	CodeCode Available	0	5
Deep Neural Networks as Gaussian Processes	Nov 1, 2017	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