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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 441–450 of 2226 papers

TitleStatusHype
A Variational Bayesian Inference Theory of Elasticity and Its Mixed Probabilistic Finite Element Method for Inverse Deformation Solutions in Any Dimension—0
Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning—0
On the Minimal Theory of Consciousness Implicit in Active Inference—0
TapType: Ten-finger text entry on everyday surfaces via Bayesian inference—0
Ranking Policy Learning via Marketplace Expected Value Estimation From Observational Data—0
Improving Generalization with Flat Hilbert Bayesian Inference—0
Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network ApproachCode0
The Benefit of Being Bayesian in Online Conformal PredictionCode0
Thermodynamic Bayesian Inference—0
An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring—0
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Benchmark Results

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