SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 1361–1370 of 2226 papers

TitleStatusHype
Is there a wave excitation in the Thalamus?—0
Simulation-Based Inference for Global Health DecisionsCode2
Variational Inference as Iterative Projection in a Bayesian Hilbert Space with Application to Robotic State Estimation—0
On Kalman-Bucy filters, linear quadratic control and active inferenceCode0
Building general Langevin models from discrete data sets—0
Data-Driven Verification under Signal Temporal Logic Constraints—0
Amortized Bayesian Inference for Models of Cognition—0
ESG2Risk: A Deep Learning Framework from ESG News to Stock Volatility Prediction—0
Bayesian inference of infected patients in group testing with prevalence estimationCode0
A Deeper Look at the Unsupervised Learning of Disentangled Representations in β-VAE from the Perspective of Core Object Recognition—0
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Benchmark Results

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