2 citations · 3 across the 3 of their papers we have counts for
3 papers
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…
Point Cloud Classification via Deep Set Linearized Optimal Transport
Scott Mahan, Caroline Moosmüller, Alexander Cloninger
We introduce Deep Set Linearized Optimal Transport, an algorithm designed for the efficient simultaneous embedding of point clouds into an space. This embedding preserves spe…
DNA: Dynamic Network Augmentation
Scott Mahan, Tim Doster, Henry Kvinge
In many classification problems, we want a classifier that is robust to a range of non-semantic transformations. For example, a human can identify a dog in a picture regardless of…