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Alessio Colucci
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2020 – today
- 2024
- [c10]Alessio Colucci, Andreas Steininger, Muhammad Shafique:
SBanTEM: A Novel Methodology for Sparse Band Tensors as Soft-Error Mitigation in Sparse Convolutional Neural Networks. IOLTS 2024: 1-3 - [c9]Alessio Colucci, Andreas Steininger, Muhammad Shafique:
EISFINN: On the Role of Efficient Importance Sampling in Fault Injection Campaigns for Neural Network Robustness Analysis. IOLTS 2024: 1-3 - 2023
- [c8]Alessio Colucci:
Towards Transient Fault Mitigation Techniques Optimized for Compressed Neural Networks. DSN-S 2023: 211-213 - [c7]Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique
:
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. IJCNN 2023: 1-9 - [i7]Alessio Colucci, Andreas Steininger
, Muhammad Shafique:
ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning. CoRR abs/2303.08035 (2023) - [i6]Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique:
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. CoRR abs/2304.03973 (2023) - 2022
- [c6]Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique
:
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. IJCNN 2022: 1-10 - [c5]Alessio Colucci, Andreas Steininger
, Muhammad Shafique
:
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. IROS 2022: 5155-5162 - [i5]Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique:
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. CoRR abs/2206.00402 (2022) - [i4]Alessio Colucci, Andreas Steininger
, Muhammad Shafique:
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. CoRR abs/2208.00328 (2022) - 2021
- [c4]Alessio Colucci, Dávid Juhász
, Martin Mosbeck, Alberto Marchisio
, Semeen Rehman, Manfred Kreutzer, Günther Nadbath, Axel Jantsch
, Muhammad Shafique
:
MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. DATE 2021: 108-113 - 2020
- [c3]Alessio Colucci, Alberto Marchisio
, Beatrice Bussolino
, Vojtech Mrazek
, Maurizio Martina, Guido Masera
, Muhammad Shafique
:
A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress. CODES+ISSS 2020: 34-36 - [c2]Alberto Marchisio
, Beatrice Bussolino
, Alessio Colucci, Maurizio Martina, Guido Masera
, Muhammad Shafique
:
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. DAC 2020: 1-6 - [c1]Alberto Marchisio
, Beatrice Bussolino
, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera
, Muhammad Shafique
:
FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks. IJCNN 2020: 1-8 - [i3]Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique:
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. CoRR abs/2004.07116 (2020) - [i2]Alessio Colucci, Dávid Juhász, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Guenther Nadbath, Axel Jantsch, Muhammad Shafique:
MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. CoRR abs/2012.05270 (2020)
2010 – 2019
- 2019
- [i1]Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique:
X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations. CoRR abs/1905.10142 (2019)
Coauthor Index
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