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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 2151–2160 of 2226 papers

Title	Date	Tasks	Status	Hype
Variational Autoencoders for Collaborative Filtering	Feb 16, 2018	Bayesian InferenceCollaborative Filtering	CodeCode Available	0
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL	May 25, 2022	Bayesian InferenceText to SQL	CodeCode Available	0
Bayesian reconstruction of memories stored in neural networks from their connectivity	May 16, 2021	Bayesian Inference	CodeCode Available	0
Inferring Fitness in Finite Populations with Moran-like dynamics	Mar 19, 2013	Bayesian Inference	CodeCode Available	0
Bayesian inference for PCA and MUSIC algorithms with unknown number of sources	Sep 26, 2018	Bayesian Inference	CodeCode Available	0
Particle Mean Field Variational Bayes	Mar 24, 2023	Bayesian Inferenceregression	CodeCode Available	0
Teaching deep neural networks to localize single molecules for super-resolution microscopy	Jun 27, 2019	Bayesian InferenceSuper-Resolution	CodeCode Available	0
Learning Waveform-Based Acoustic Models using Deep Variational Convolutional Neural Networks	Jun 23, 2019	Bayesian InferenceRobust Speech Recognition	CodeCode Available	0
Path-Guided Particle-based Sampling	Dec 4, 2024	Bayesian Inference	CodeCode Available	0
Approximate Bayesian Neural Doppler Imaging	Aug 20, 2021	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