SOTAVerified

Bayesian Inference

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

Papers

Showing 121130 of 2226 papers

TitleStatusHype
Monte Carlo guided Diffusion for Bayesian linear inverse problemsCode1
Multi-marginal optimal transport and probabilistic graphical modelsCode1
Bayesian inference for logistic models using Polya-Gamma latent variablesCode1
Neural Variational Gradient DescentCode1
BioEM: GPU-accelerated computing of Bayesian inference of electron microscopy imagesCode1
Out-of-Distribution Detection Using Union of 1-Dimensional SubspacesCode1
Calibrating Transformers via Sparse Gaussian ProcessesCode1
Bayes-Newton Methods for Approximate Bayesian Inference with PSD GuaranteesCode1
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU NetworksCode1
Bayesian neural networks via MCMC: a Python-based tutorialCode1
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Benchmark Results

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