2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2025
Topology-Aware Activation Functions in Neural Networks
Pavel Snopov, Oleg R. Musin
This study explores novel activation functions that enhance the ability of neural networks to manipulate data topology during training. Building on the limitations of traditional a…
cs.LG2024
Vulnerability Detection via Topological Analysis of Attention Maps
Pavel Snopov, Andrey Nikolaevich Golubinskiy
Recently, deep learning (DL) approaches to vulnerability detection have gained significant traction. These methods demonstrate promising results, often surpassing traditional stati…
cs.LG2024★ 2 cited
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…