Michele Casoni When: Sep 28th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description Continual Learning: an Optimal Control approach Continual Learning is a branch of Machine Learning which studies the ability of a model to learn continually from a stream of data. For academics and practitioners, this new way of conceiving learning […]

Elia Giuseppe Ceroni When: Sep 21st, 2022 – 11:00 – 11:45 AM Where: Google meet link Description Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging by Lin Lu, Laurent Dercle, Binsheng Zhao, and Lawrence H. Schwartz In current clinical practice, tumor response assessment is usually based […]

Caterina Graziani When: Sep 14th, 2022 – 11:45 – 12:30 AM Where: Google meet link Description On the Extension of the Weisfeiler-Lehman Hierarchy by WL Tests for Arbitrary Graphs Graph isomorphism (GI) has occupied both theoreticians and applied scientists since the early 1950s. Over the years, several approaches and algorithms with which an isomorphism between […]

Veronica Lachi When: Sep 14th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description Weisfeiler-Lehman goes dynamic: an analysis of the expressive power of Graph Neural Network for Attributed and Dynamic Graphs Graph Neural Networks (GNNs) are a large class of connectionist models for graph processing. Recent theoretical studies on the expressive power […]