Contrastive independent component analysis for salient patterns and dimensionality reduction

Proceedings of the National Academy of Sciences, Volume 122, Issue 50, December 2025. SignificanceVisualizing data and finding patterns in data are ubiquitous problems in the sciences. Increasingly, applications seek signal and structure in a contrastive setting: a foreground dataset relative to a background dataset. The goal is to learn …