Jonathan Svirsky

Differentiable Unsupervised Feature Selection based on a Gated Laplacian

2020 · arXiv (Cornell University)

Scientific observations may consist of a large number of variables (features). Identifying a subset of meaningful features is often ignored in unsupervised learning, despite its potential for unraveling clear patterns hidden in the ambient space. …