2 papers
cs.CV2026
A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor Fusion
Fabio Montello, Ronja Güldenring, Simone Scardapane +1
Model compression is essential in the deployment of large Computer Vision models on embedded devices. However, static optimization techniques (e.g. pruning, quantization, etc.) neg…
cs.LG2026
Interpreting Temporal Graph Neural Networks with Koopman Theory
Michele Guerra, Simone Scardapane, Filippo Maria Bianchi
Spatiotemporal graph neural networks (STGNNs) have shown promising results in many domains, from forecasting to epidemiology. However, understanding the dynamics learned by these m…