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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Workshop on “WebCrow Project” First Workshop about WebCrow Benchmark in TAILOR. Organized by CINI and Expert.ai. FEB 24th, 2023 – 10:00-12:00 Teams Conference Room: Teams Link Objective WebCrow is an AI software developed to solve multilingual crossword puzzles using NLP technology. NLP approaches may exploit different sources of knowledge like ontologies, knowledge graphs and the web. Then […]
Read More »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. […]
Read More »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 […]
Read More »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 […]
Read More »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, […]
Read More »Giuseppe Alessio D’Inverno When: Nov 9th, 2022 – 11:00 – 11:30 AM Where: Google meet link Description Physics Informed Neural Networks for generation of structured grids on bounded domains The generation of structured grids on bounded domains is a crucial point in the development of numerical models for solving differential problems. In particular, the representation […]
Read More »Enrico Meloni When: Nov 9th, 2022 – 11:30 – 12:00 AM Where: Google meet link Description PARTIME: Scalable Multi-GPU Pipeline Parallelism In this seminar, we present PARTIME, a software library written in Python and based on PyTorch, designed specifically to speed up neural networks whenever data is continuously streamed over time, for both learning and […]
Read More »Niccolò Pancino When: Nov 9th, 2022 – 11:00 – 11:30 AM Where: Google meet link Description Drug Side Effect Prediction with Deep Learning Molecular Embedding in a Graph of Graphs Domain In collaboration with Yohann Perronn, Pietro Bongini and Franco Scarselli Drug Side Effects (DSEs) or Adverse Drug Reactions (ADRs) constitute an important health risk, […]
Read More »Federica Baccini When: Nov 2nd, 2022 – 11:00 – 11:45 AM Where: Google meet link Description Weighted simplicial complexes and their representation power of higher-order network data and topology Hypergraphs and simplicial complexes both capture the higher-order interactions of complex systems, ranging from higher-order collaboration networks to brain networks. One open problem in the field […]
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