8 citations · 9 across the 8 of their papers we have counts for
3 papers · 1 filter
Physics-Informed Neural Networks for Nonlinear Output Regulation
Sebastiano Mengozzi, Giovanni B. Esposito, Michelangelo Bin +3
This work addresses the full-information output regulation problem for nonlinear systems, assuming the states of both the plant and the exosystem are known. In this setting, perfec…
Monte Cimone v2: Down the Road of RISC-V High-Performance Computers
Emanuele Venieri, Simone Manoni, Gabriele Ceccolini +6
Many RISC-V (RV) platforms and SoCs have been announced in recent years targeting the HPC sector, but only a few of them are commercially available and engineered to fit the HPC re…
SpikeStream: Accelerating Spiking Neural Network Inference on RISC-V Clusters with Sparse Computation Extensions
Simone Manoni, Paul Scheffler, Luca Zanatta +3
Spiking Neural Network (SNN) inference has a clear potential for high energy efficiency as computation is triggered by events. However, the inherent sparsity of events poses challe…