4 citations · 5 across the 2 of their papers we have counts for
4 papers
Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers
Giulia Crocioni, Giambattista Gruosso, Danilo Pau +3
Nowadays, Neural Networks represent a major expectation for the realization of powerful Deep Learning algorithms, which can determine several physical systems' behaviors and operat…
Benchmarking TinyML Systems: Challenges and Direction
Colby R. Banbury, Vijay Janapa Reddi, Max Lam +14
Recent advancements in ultra-low-power machine learning (TinyML) hardware promises to unlock an entirely new class of smart applications. However, continued progress is limited by…
Pre-trainable Reservoir Computing with Recursive Neural Gas
Luca Carcano, Emanuele Plebani, Danilo Pietro Pau +1
Echo State Networks (ESN) are a class of Recurrent Neural Networks (RNN) that has gained substantial popularity due to their effectiveness, ease of use and potential for compact ha…
A Multi-signal Variant for the GPU-based Parallelization of Growing Self-Organizing Networks
Giacomo Parigi, Angelo Stramieri, Danilo Pau +1
Among the many possible approaches for the parallelization of self-organizing networks, and in particular of growing self-organizing networks, perhaps the most common one is produc…