CV

Education

• B.S. in GitHub, GitHub University, 2012
• M.S. in Jekyll, GitHub University, 2014
• Ph.D in Version Control Theory, GitHub University, 2018 (expected)

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Inductive–Transductive Learning with Graph Neural Networks

Rossi, A., Tiezzi, M., Dimitri, G. M., Bianchini, M., Maggini, M., & Scarselli, F. (2018, September). "Inductive–transductive learning with graph neural networks. " IAPR Workshop on Artificial Neural Networks in Pattern Recognition (pp. 201-212). Springer, Cham. 8th IAPR TC3 Workshop, ANNPR 2018

Video Surveillance of Highway Traffic Events by Deep Learning Architectures

Tiezzi, M., Melacci, S., Maggini, M., & Frosini, A. (2018, October). "Video Surveillance of Highway Traffic Events by Deep Learning Architectures. " International Conference on Artificial Neural Networks (pp. 584-593). Springer, Cham. 27th International Conference on Artificial Neural Networks, ICANN18

Lagrangian Propagation Graph Neural Networks

Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini and Marco Gori (2020). "Lagrangian Propagation Graph Neural Networks " AAAI20 - DLGMA Workshop

Local Propagation in Constraint-based Neural Network

Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini and Marco Gori (2020). "Local Propagation in Constraint-based Neural Network " IJCNN2020

A Lagrangian Approach to Information Propagation in Graph Neural Networks

Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini and Marco Gori (2020). "A Lagrangian Approach to Information Propagation in Graph Neural Networks; ECAI2020 -

Deep Lagrangian Propagation in Graph Neural Networks

Matteo Tiezzi, Giuseppe Marra, Stefano Melacci and Marco Maggini (2020). "Deep Lagrangian Propagation in Graph Neural Networks " ICML20 - GRL+ Workshop

Focus of Attention Improves Information Transfer in Visual Features

Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori (2020). "Focus of Attention Improves Information Transfer in Visual Features " NeurIPS2020

Talks

LabMeeting: Capsule Networks

February 01, 2018

LabMeeting at SAILab, Siena, Italy

LabMeeting: Excursus in the State of the art of object detection - Deep learning models, performance, practical tests

February 01, 2018

LabMeeting at SAILab, Siena, Italy

LabMeeting: Adversarial Reprogramming of Neural Networks

September 06, 2018

LabMeeting at SAILab, Siena, Italy

LabMeeting: Learning scene decomposition and Visual Graph Representation

April 03, 2019

LabMeeting at SAILab, Siena, Italy

ACDL Satellite Workshop on Graph Neural Networks - Lagrangian Propagation Graph Neural Networks – A constraint-based formulation

July 22, 2019

Workshops at SAILab, Siena, Italy

LabMeeting: Knowledge graphs for image classification and semantic navigation – from reality to virtual worlds

September 25, 2019

LabMeeting at SAILab, Siena, Italy

AAAI20 - DLGMA Workshop spotlight: Lagrangian Propagation Graph Neural Network

February 07, 2020

LabMeeting at AAAI20 - DLGMA Workshop, New York, USA, New York, USA

LabMeeting: On Mutual Information Maximization for Representation Learning

April 15, 2020

LabMeeting at SAILab, Siena, Italy

Deep Lagrangian Propagation in Graph Neural Networks

July 17, 2020

Conference at ICML GRL+ Workshop, Siena, Italy

An overview of Graph Neural Networks up to Lagrangian Propagation GNNs

December 04, 2020

Seminar at Maasai Nice cote D'Azur, Nice Cote D'Azur, France

Teaching

Service and leadership

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