3 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.ML2020
Gradient-based Competitive Learning: Theory
Giansalvo Cirrincione, Pietro Barbiero, Gabriele Ciravegna +1
Deep learning has been widely used for supervised learning and classification/regression problems. Recently, a novel area of research has applied this paradigm to unsupervised task…
stat.ML2020★ 3 cited
Topological Gradient-based Competitive Learning
Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo +1
Topological learning is a wide research area aiming at uncovering the mutual spatial relationships between the elements of a set. Some of the most common and oldest approaches invo…