3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Topological Deep Learning Challenge 2026: Bridging the Gap
Guillermo Bernárdez, Lev Telyatnikov, Mathilde Papillon +68
This paper describes the 2026 edition of the Topological Deep Learning Challenge: Bridging the Gap, hosted at the second Topology, Algebra, and Geometry in Data Science (TAG-DS) Co…
cs.LG2024★ 3 cited
Bayesian Optimization for Hyperparameters Tuning in Neural Networks
Gabriele Onorato
This study investigates the application of Bayesian Optimization (BO) for the hyperparameter tuning of neural networks, specifically targeting the enhancement of Convolutional Neur…
cs.LG2024
Heterogeneous Sheaf Neural Networks
Luke Braithwaite, Alessio Borgi, Gabriele Onorato +4
Heterogeneous graphs, whose nodes and edges can belong to different types and feature spaces, arise in many real-world domains, including biology, recommendation, social networks,…