Open access
Aug 2026
A generative model for dimensionality reduction with millions of features and few samples
It is demonstrated that it is feasible to train a deep generative model for dimensionality reduction with millions of features using few samples, which makes this type of generative model a more versatile alternative to standard methods for dimensionality reduction.
C. Pancotti, P. Fariselli, J. Meisner et al.
· bioRxiv · 0 citations