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Research Scientist
Group Involvement, NEC Laboratories Europe
Intelligent Software Systems
Research Interests
- Deep Learning for Graphs
- Probabilistic and Hybrid Modeling
- Uncertainty Estimation
Publications
- Federico Errica, Davide Bacciu, Alessio Micheli. Graph Mixture Density Networks. Proceedings of the 38th International Conference on Machine Learning (ICML 2021), 2021.
- Davide Bacciu, Federico Errica, Marco Podda, Alessio Micheli. A Gentle Introduction to Deep Learning for Graphs. Neural Networks, 2020.
- Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli. A Fair Comparison of Graph Neural Networks for Graph Classification. The 8th International Conference on Learning Representations (ICLR 2020), 2020.
- Davide Bacciu, Federico Errica, Alessio Micheli. Probabilistic Learning on Graphs via Contextual Architectures. Journal of Machine Learning Research (JMLR), 2020.
- Davide Bacciu, Federico Errica, Alessio Micheli. Contextual Graph Markov Model: a Deep and Generative Approach to Graph Processing. Proceedings of the 35th International Conference on Machine Learning (ICML 2018), 2018.
Connections
- Google Scholar: https://scholar.google.com/citations?user=VJ0n2gQAAAAJ&hl=en
- LinkedIn: https://www.linkedin.com/in/federicoerrica