SOTAVerified

Bayesian Inference

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

Papers

Showing 661670 of 2226 papers

TitleStatusHype
Data-driven Approach for Interpolation of Sparse DataCode0
Baxter Permutation ProcessCode0
Measuring Uncertainty through Bayesian Learning of Deep Neural Network StructureCode0
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random FeaturesCode0
Deep Bayesian inference for seismic imaging with tasksCode0
Compositional uncertainty in deep Gaussian processesCode0
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomyCode0
Detecting Model Misspecification in Amortized Bayesian Inference with Neural NetworksCode0
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data setsCode0
Bayesian Online Natural Gradient (BONG)Code0
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Benchmark Results

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