[Nov 15th 2023] Applications of Large Language Models in the field of education

KAMYAR ZEINALIPOUR When: Nov 15th, 2023 – 11:30 – 12:00 AM Where: Google meet link Description Applications of Large Language Models in the field of education This seminar explores the transformative impact of Large Language Models (LLMs) on education, focusing on their application in the generation of multilingual educational crosswords and quizzes. The seminar delves […]

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External Seminar On Bayesian Inference and Generative Models for Wireless Communication Algorithms Organised by prof. Andrea Abrardo [Apr 12th, 2023 – 10:00 – 13:00 AM]

Prof. Wolfang Utschick When: Apr 12th, 2023 – 10:00 – 13:00 AM Where: In presence at the San Niccolò building Bayesian Inference and Generative Models for Wireless Communication Algorithms Abstract: This tutorial first introduces the fundamentals of generative models, followed by the perspective of learning the radio propagation environment (“radio-compatible digital twin”) of wireless communication […]

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[Apr 5th 2023] The expressive power of pooling in Graph Neural Networks

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 […]

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[Mar 29th 2023] Learning Identity Effects with Graph Neural Networks

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 […]

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[Mar 22th 2023] LabMeeting: RandomWalk Graph Neural Networks

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 […]

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[Feb 22th 2023] LabMeeting: Template based Graph Neural Network with Optimal Transport Distances

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. […]

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[Feb 15th 2023] LabMeeting: WebCrowDE – Automated German Crossword resolution

Thomas Röthenbacher When: Feb 15th, 2023 – 11:30 – 12:00 AM Where: Google meet link Description WebCrowDE – Automated German Crossword resolution WebCrow is an automatic Crossword Puzzles solver for Italian and English. Adapting a crossword solver to other languages can be challenging because each language has its own characteristics and puzzles its own peculiarities. […]

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[Feb 15th 2023] LabMeeting: Diffusion-based semantic image editing with mask guidance

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 […]

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[Feb 8th 2023] LabMeeting: FEENI – FEature Encoding for Neoepitope-induced Immune response prediction

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 […]

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