Matteo Tiezzi
Scholar

Matteo Tiezzi

Google Scholar ID: HJ2TW1YAAAAJ
Italian Institute of Technology
Lifelong Continual LearningGraph Neural NetworksGraph Representation Learning
Citations & Impact
All-time
Citations
302
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Presented paper 'Memory Head for Pre-Trained Backbones in Continual Learning' at the 3rd Conference on Lifelong Learning Agents (CoLLAs) in July 2024
  • Paper 'Neural Time-Reversed Generalized Riccati Equation' accepted at AAAI 2024 (December 2023)
  • Paper 'Continual Learning with Pretrained Backbones by Tuning in the Input Space' accepted at IJCNN 2023 (June 2023)
  • Authored book chapter 'A Lagrangian framework for learning in graph neural networks' (January 2024)
  • Proposed Lagrangian Propagation Graph Neural Networks based on constraint optimization in the Lagrangian framework, eliminating the need for separate iterative state convergence
  • Contributed to SAILenv, a Unity3D-powered virtual environment with pixel-wise annotations, optical flow, depth, and a Python API for integration with learning frameworks