Federico Errica

Federico Errica

PhD Candidate in Computer Science

University of Pisa

About Me

Federico Errica is a PhD candidate in Computer Science at the University of Pisa, supervised by Alessio Micheli and Davide Bacciu. His research interests include deep probabilistic models for graphs, neural networks and hybrid architectures. He is part of the Computational Intelligence and Machine Learning Group and of the Pervasive AI Lab

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Interests
  • Machine Learning for Graphs
  • Probabilistic Modeling
  • Hybrid Architectures
Education
  • PhD in Computer Science, 2018-ongoing

    University of Pisa

  • MSc in Computer Science, 2015-2018

    University of Pisa

  • BSc in Computer Science, 2012-2015

    University of Pisa

Experience

 
 
 
 
 
Research Intern
Facebook AI Research
Jun 2019 – Sep 2019 London, UK
Worked on a low-resource classificator for text.
 
 
 
 
 
Machine Learning Researcher
Laife Reply
Mar 2018 – Sep 2018 Milan, Italy
Worked on breast cancer detection.

Publications

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(2021). Robust Malware Classification via Deep Graph Networks on Call Graph Topologies. ESANN-2021.

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(2021). Concept Matching for Low-Resource Classification. IJCNN-2021.

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(2021). Modeling Edge Features with Deep Bayesian Graph Networks. IJCNN-2021.

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(2020). Theoretically Expressive and Edge-aware Graph Learning. ESANN-2020.

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(2020). Accelerating the identification of informative reduced representations of proteins with deep learning for graphs. preprint.

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