Hardware-aware compression techniques for Embedded Deep Neural Networks

• Dissemination activity (2021)
• 2nd Best Paper Award 27th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) Cusco, October 6-9, 2019 (2020)
• Research Projects (2020)
• Fellow of the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) (2020)

Bachelor of Science

• Informatica. A.A. 2018/19, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2019/20, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2020/21, INGEGNERIA AEROSPAZIALE. Collaboratore del corso

• Grimaldi, Matteo (2021)
  Hardware-Aware Compression Techniques for Embedded Deep Neural Networks. relatore: MACII, Enrico; CALIMERA, ANDREA; , 33. XXXIII Ciclo, P.: 161
  Doctoral Thesis
• Grimaldi, Matteo; Peluso, Valentino; Calimera, Andrea (2020)
  EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets. In: IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), pp. 233-237. ISBN: 978-1-7281-4922-6
  Contributo in Atti di Convegno (Proceeding)
• Grimaldi, Matteo; Tenace, Valerio; Calimera, Andrea (2019)
  Layer-wise compressive training for convolutional neural networks. In: FUTURE INTERNET, vol. 11. ISSN 1999-5903
  Contributo su Rivista
• Grimaldi, Matteo; Peluso, Valentino; Calimera, Andrea (2019)
  Optimality Assessment of Memory-Bounded ConvNets Deployed on Resource-Constrained RISC Cores. In: IEEE ACCESS, pp. 1-13. ISSN 2169-3536
  Contributo su Rivista
• Peluso, V.; Grimaldi, M.; Calimera, A. (2019)
  Arbitrary-Precision Convolutional Neural Networks on Low-Power IoT Processors. In: 27th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2019, per, 2019, pp. 142-147. ISBN: 978-1-7281-3915-9
  Contributo in Atti di Convegno (Proceeding)
• Lee, Sunghoon I; Adans-Dester, Catherine P; Grimaldi, Matteo; Dowling, Ariel V; Horak, ... (2018)
  Enabling Stroke Rehabilitation in Home and Community Settings: A Wearable Sensor-Based Approach for Upper-Limb Motor Training. In: IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE, vol. 6, pp. 2100411-11. ISSN 2168-2372
  Contributo su Rivista
• Bonato, Paolo; Sapienza, Stefano; Grimaldi, Matteo; Fabara, Eric; Daneault, Jean-Francois (2018)
  Muscle Synergies as the Basis for the Control of a Hand Prosthesis. In: ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, vol. 99, pp. 207-208. ISSN 0003-9993
  Contributo su Rivista
• Grimaldi, M.; Pugliese, Federico; Tenace, V.; Calimera, A. (2018)
  A compression-driven training framework for embedded deep neural networks. In: 2018 Workshop on INTelligent Embedded Systems Architectures and Applications, INTESA 2018, ita, 2018, pp. 45-50. ISBN: 9781450365987
  Contributo in Atti di Convegno (Proceeding)