VERONICA LACHI When: Apr 5th, 2023 – 11:00 – 11:30 AM Where: Google meet link Description The expressive power of pooling in Graph Neural Networks In Graph Neural Networks (GNNs), hierarchical pooling operators generate a coarser representation of the input data by creating local summaries of the graph structure and its vertex features. Considerable attention […]

GIUSEPPE ALESSIO D’INVERNO When: Mar 29th, 2023 – 15:00 – 15:30 AM Where: Google meet link Description Learning Identity Effects with Graph Neural Networks Graph Neural Networks (GNNs) have emerged in the past years as a powerful tool to learn tasks on a wide range of graph domains in a data-driven fashion; among all the […]

Caterina Graziani When: Mar 22th, 2023 – 11:00 – 11:30 AM Where: Google meet link Description RandomWalk Graph Neural Networks Abstract: In recent years, graph neural networks (GNNs) have become the de facto tool for performing machine learning tasks on graphs. Most GNNs belong to the family of message-passing neural networks (MPNNs). These models employ […]

Michele Casoni When: Mar 1th, 2023 – 11:00 – 11:30 AM Where: Google meet link Description Forward Approximate Solution for Linear Quadratic Tracking Abstract: “In this paper, we discuss an approximation strategy for solving the Linear Quadratic Tracking that is both forward and local in time. We exploit the known form of the value function […]

Marco Corneli  When: Feb 22th, 2023 – 11:00 – 11:30 AM Where: Google meet link Description WebCrowDE – Template based Graph Neural Network with Optimal Transport Distances Abstract : Current Graph Neural Networks (GNN) architectures generally rely on two important components: node features embedding through message passing and aggregation with a specialized form of pooling. […]

BARBARA TONIELLA CORRADINI When: Feb 15th, 2023 – 11:00 – 11:30 AM Where: Google meet link Description Diffedit: Diffusion-based semantic image editing with mask guidance/strong> G. Couairon, J. Verbeek, H. Schwenk, and M. Cord Image generation has recently seen tremendous advances, with diffusion models allowing to synthesize convincing images for a large variety of text […]

ELIA GIUSEPPE CERONI When: Feb 8th, 2023 – 11:00 – 11:30 AM Where: Google meet link Description FEENI – FEature Encoding for Neoepitope-induced Immune response prediction In collaboration with Valeria Repetto and Danilo Tatoni from CTGLab (CNR-IIT Pisa) In this work, we are aiming to predict immunogenicity of a given Neoepitope, small peptide sequences capable […]

Simone Marullo When: Dec 7th, 2022 – 11:00 – 11:30 AM Where: Google meet link Description SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition By Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell Matthew Botvinick, Alexander Lerchner, Christopher P. Burgess To help agents reason about scenes in terms of their building blocks, […]