Matteo Matteucci

Extracting finite state representations from recurrent models of Industrial Cyber Physical Systems

2020

Neural networks are being broadly explored for the identification of Industrial Cyber Physical Systems (ICPS) models from data sequences. However, learned representations typically lack explainability, representing a major challenge of deep learning. Interpreting the information …

Your image generator is your new private dataset

2025 · Image and Vision Computing

Generative diffusion models have emerged as powerful tools to synthetically produce training data, offering potential solutions to data scarcity and reducing labelling costs for downstream supervised deep learning applications. However, existing approaches for synthetic dataset …