Vladislav Kim

This paper introduces Contrastive Poincare Maps (CPM) for embedding developmental scRNA-seq data in hyperbolic space, achieving better hierarchy preservation and scalability than existing methods.

This study uses self-supervised learning to improve image representation for Cell Painting, outperforming traditional tools in classification tasks and reducing computational costs.