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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 591–600 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Bayesian regression and Bitcoin	Oct 6, 2014	Bayesian InferenceBinary Classification	CodeCode Available	0	5
Deep Bayesian inference for seismic imaging with tasks	Oct 10, 2021	Bayesian InferenceInductive Bias	CodeCode Available	0	5
Bayesian reconstruction of memories stored in neural networks from their connectivity	May 16, 2021	Bayesian Inference	CodeCode Available	0	5
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak	Feb 15, 2025	Bayesian InferenceConformal Prediction	CodeCode Available	0	5
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	0	5
Estimating Risk and Uncertainty in Deep Reinforcement Learning	May 23, 2019	Bayesian InferenceDeep Reinforcement Learning	CodeCode Available	0	5
Evaluating and Modeling Social Intelligence: A Comparative Study of Human and AI Capabilities	May 20, 2024	Bayesian InferenceZero-Shot Learning	CodeCode Available	0	5
Bistable perception, precision and neuromodulation	Dec 19, 2022	Bayesian Inference	CodeCode Available	0	5
deBInfer: Bayesian inference for dynamical models of biological systems in R	Oct 15, 2016	Bayesian Inference	CodeCode Available	0	5
Bayesian Pseudocoresets	Dec 1, 2020	Bayesian Inference	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