Seminars

This talk explores the emerging field of topological signals, dynamical variables defined on higher-order networks such as simplicial or cell complexes. These are functions defined on simplicial complexes that generalize the idea of node-based dynamics to higher-order interactions, allowing signals to propagate across links, faces, and higher-dimensional simplices.

A collection of invited talks and seminars presented at various institutes and workshops, focusing on advancements in neural networks and machine learning.

A collection of invited talks and seminars presented at various institutes and workshops, focusing on advancements in neural networks and machine learning.

A collection of invited talks and seminars presented at various institutes and workshops, focusing on advancements in neural networks and machine learning.