CV

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

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

July 22, 2019

Workshops at SAILab, Siena, Italy

Matteo Tiezzi

CV

Publications

Inductive–Transductive Learning with Graph Neural Networks

Video Surveillance of Highway Traffic Events by Deep Learning Architectures

Lagrangian Propagation Graph Neural Networks

Local Propagation in Constraint-based Neural Network

A Lagrangian Approach to Information Propagation in Graph Neural Networks

Deep Lagrangian Propagation in Graph Neural Networks

Focus of Attention Improves Information Transfer in Visual Features

Deep Constraint-based Propagation in Graph Neural Networks

Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier

Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments

Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects

Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks

Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams

Talks

LabMeeting: Capsule Networks

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

LabMeeting: Adversarial Reprogramming of Neural Networks

LabMeeting: Learning scene decomposition and Visual Graph Representation

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

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

AAAI20 - DLGMA Workshop spotlight: Lagrangian Propagation Graph Neural Network

LabMeeting: On Mutual Information Maximization for Representation Learning

Deep Lagrangian Propagation in Graph Neural Networks

An overview of Graph Neural Networks up to Lagrangian Propagation GNNs

Teaching