2 papers
eess.IV2024
Are the Latent Representations of Foundation Models for Pathology Invariant to Rotation?
Matouš Elphick, Samra Turajlic, Guang Yang
Self-supervised foundation models for digital pathology encode small patches from H\&E whole slide images into latent representations used for downstream tasks. However, the invari…
cs.LG2024
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna +70
This paper describes the 2nd edition of the ICML Topological Deep Learning Challenge that was hosted within the ICML 2024 ELLIS Workshop on Geometry-grounded Representation Learnin…