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Luca Mocerino
Luca Mocerino
Research Scientist II, Microsoft Corporation
Email verificata su microsoft.com
Titolo
Citata da
Citata da
Anno
Fast and accurate inference on microcontrollers with boosted cooperative convolutional neural networks (BC-Net)
L Mocerino, A Calimera
IEEE Transactions on Circuits and Systems I: Regular Papers 68 (1), 77-88, 2020
162020
CoopNet: Cooperative convolutional neural network for low-power MCUs
L Mocerino, A Calimera
2019 26th IEEE International Conference on Electronics, Circuits and Systems …, 2019
92019
Energy-efficient convolutional neural networks via recurrent data reuse
L Mocerino, V Tenace, A Calimera
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 848-853, 2019
82019
TentacleNet: A pseudo-ensemble template for accurate binary convolutional neural networks
L Mocerino, A Calimera
2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020
72020
Dynamic convnets on tiny devices via nested sparsity
M Grimaldi, L Mocerino, A Cipolletta, A Calimera
IEEE Internet of Things Journal 10 (6), 5073-5082, 2022
42022
AdapTTA: adaptive test-time augmentation for reliable embedded convnets
L Mocerino, RG Rizzo, V Peluso, A Calimera, E Macii
2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration …, 2021
32021
AxP: A HW-SW Co-Design Pipeline for Energy-Efficient Approximated ConvNets via Associative Matching
L Mocerino, A Calimera
Applied Sciences 11 (23), 11164, 2021
12021
Adaptive Test-Time Augmentation for Low-Power CPU
L Mocerino, RG Rizzo, V Peluso, A Calimera, E Macii
arXiv preprint arXiv:2105.06183, 2021
12021
Hardware-Aware Cross-Layer Optimizations of Deep Neural Networks for Embedded Systems
L Mocerino
Politecnico di Torino, 2022
2022
On the Efficiency of AdapTTA: An Adaptive Test-Time Augmentation Strategy for Reliable Embedded ConvNets
L Mocerino, RG Rizzo, V Peluso, A Calimera, E Macii
IFIP/IEEE International Conference on Very Large Scale Integration-System on …, 2021
2021
Data-flow analysis and optimization in Convolutional Neural Networks on-chip
L Mocerino
Politecnico di Torino, 2017
2017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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