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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 1461–1470 of 2226 papers

TitleStatusHype
Gaussian Process Meta-Representations For Hierarchical Neural Network Weight Priors—0
Gaussian Process Meta-Representations Of Neural Networks—0
Gaussian Process Neurons—0
Gaussian Process Neurons Learn Stochastic Activation Functions—0
Bayesian Inference over the Stiefel Manifold via the Givens Representation—0
General Intelligent Imaging and Uncertainty Quantification by Deterministic Diffusion Model—0
Generalised Bayesian Filtering via Sequential Monte Carlo—0
Generalization Certificates for Adversarially Robust Bayesian Linear Regression—0
Convergence Rates of Variational Inference in Sparse Deep Learning—0
Generalization of generative model for neuronal ensemble inference method—0
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Benchmark Results

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