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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 461–470 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Fast Bayesian Inference for Neutrino Non-Standard Interactions at Dark Matter Direct Detection Experiments	May 23, 2024	Bayesian InferenceGPU	CodeCode Available	0	5
Bayesian inference of species trees using diffusion models	Sep 16, 2019	Bayesian Inference	CodeCode Available	0	5
BAMBI: blind accelerated multimodal Bayesian inference	Oct 13, 2011	Bayesian Inference	CodeCode Available	0	5
Model-based Validation as Probabilistic Inference	May 17, 2023	Bayesian Inferencemodel	CodeCode Available	0	5
A Bayesian Monte Carlo approach for predicting the spread of infectious diseases	Apr 26, 2019	Bayesian InferenceDisease Prediction	CodeCode Available	0	5
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows	Oct 4, 2022	Bayesian InferenceObject	CodeCode Available	0	5
A fast asynchronous MCMC sampler for sparse Bayesian inference	Aug 14, 2021	Bayesian Inference	CodeCode Available	0	5
Bayesian Inference on Brain-Computer Interfaces via GLASS	Apr 14, 2023	Bayesian InferenceEEG	CodeCode Available	0	5
Deep Bayesian inference for seismic imaging with tasks	Oct 10, 2021	Bayesian InferenceInductive Bias	CodeCode Available	0	5
Deep Active Inference as Variational Policy Gradients	Jul 8, 2019	Bayesian Inferencereinforcement-learning	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