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Found 4 papers, 1 papers with code
InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data
While there is a growing literature on image-on-image regression to delineate predictive inference of an image based on multiple images, existing approaches have limitations in efficiently borrowing information between multiple imaging modalities in the prediction of an image.
Compressed Gaussian Process
Nonparametric regression for massive numbers of samples (n) and features (p) is an increasingly important problem.
Bayesian Conditional Density Filtering
We propose a Conditional Density Filtering (C-DF) algorithm for efficient online Bayesian inference.
Bayesian Compressed Regression
As an alternative to variable selection or shrinkage in high dimensional regression, we propose to randomly compress the predictors prior to analysis.
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