5 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
ICML 2023 Topological Deep Learning Challenge : Design and Results
Mathilde Papillon, Mustafa Hajij, Helen Jenne +53
This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning. The competi…
Deep neural networks architectures from the perspective of manifold learning
German Magai
Despite significant advances in the field of deep learning in ap-plications to various areas, an explanation of the learning pro-cess of neural network models remains an important…
Topology and geometry of data manifold in deep learning
German Magai, Anton Ayzenberg
Despite significant advances in the field of deep learning in applications to various fields, explaining the inner processes of deep learning models remains an important and open q…