2 citations · 2 across the 4 of their papers we have counts for
4 papers
Geometry helps in routing scalability
Matt Piekenbrock
Delay Tolerant Networking (DTN) aims to address a myriad of significant networking challenges that appear in time-varying settings, such as mobile and satellite networks, wherein c…
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…
TopoBench: A Framework for Benchmarking Topological Deep Learning
Lev Telyatnikov, Guillermo Bernardez, Marco Montagna +34
This work introduces TopoBench, an open-source library designed to standardize benchmarking and accelerate research in topological deep learning (TDL). TopoBench decomposes TDL int…
Move Schedules: Fast persistence computations in coarse dynamic settings
Matthew Piekenbrock, Jose A. Perea
Matrix reduction is the standard procedure for computing the persistent homology of a filtered simplicial complex with simplices. Its output is a particular decomposition of th…