Posts

Here you can find an introduction to the world of graph neural networks (GNN for short). This family of models is able process graph structured data and solve many interesting tasks.

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We recently released a teaser of PLVS in action. Here you can find more info and a lot of videos of PLVS showing its capabilities on many different datasets. PLVS is still a work in progress but the software will be released as open-source with our outcoming paper very soon!

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This is the first post of my personal page and in some sense, the story the beginning of my interest in research. I had the privilege to collaborate as a bachelor and later master student to an European project TRADR: Long-Term Human-Robot Teaming for Disaster Response. It has not been always easy to make this intern at the Alcor lab coexist with my ordinary studies, but was worth it. I’ve learned a lot of stuff, travelled as much and made new connections.

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Publications

. Adaptive Propagation Graph Convolutional Network. 2020.

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. Efficient data augmentation using graph imputation neural networks. WIRN, 2019.

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Teaching

20192020

Teaching Assistant

Contact

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