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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

TitleStatusHype
Device Detection and Channel Estimation in MTC with Correlated Activity Pattern—0
Calibrating Neural Simulation-Based Inference with Differentiable Coverage ProbabilityCode0
Simulation-based Bayesian Inference from Privacy Protected DataCode0
Fine-Tuning Generative Models as an Inference Method for Robotic TasksCode0
Sequential Gibbs Posteriors with Applications to Principal Component Analysis—0
Bayesian Flow Networks in Continual Learning—0
Sensitivity-Aware Amortized Bayesian InferenceCode0
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian InferenceCode1
Hierarchical MTC User Activity Detection and Channel Estimation with Unknown Spatial Covariance—0
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61—Unverified
2F-SWAGAccuracy80.93—Unverified