2 citations · 3 across the 3 of their papers we have counts for
3 papers
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…
cs.LG2022★ 1 cited
Artificial Intelligence based tool wear and defect prediction for special purpose milling machinery using low-cost acceleration sensor retrofits
Mahmoud Kheir-Eddine, Michael Banf, Gregor Steinhagen
Milling machines form an integral part of many industrial processing chains. As a consequence, several machine learning based approaches for tool wear detection have been proposed…
cs.LG2019
Learning Theory and Support Vector Machines - a primer
Michael Banf
The main goal of statistical learning theory is to provide a fundamental framework for the problem of decision making and model construction based on sets of data. Here, we present…