Alessio Colucci

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Importance Sampling

Affine Transformation

Fault Injection

Top Venues

Publications

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)
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)
Alessio Colucci
Towards Transient Fault Mitigation Techniques Optimized for Compressed Neural Networks. DSN-S (2023)
Alessio Colucci, Andreas Steininger, Muhammad Shafique
ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning. CoRR (2023)
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 (2023)
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)
Alessio Colucci, Andreas Steininger, Muhammad Shafique
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. CoRR (2022)
Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. IJCNN (2022)
Alessio Colucci, Andreas Steininger, Muhammad Shafique
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. IROS (2022)
Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. CoRR (2022)
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)
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)
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 (2020)
Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. DAC (2020)
Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. CoRR (2020)
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)
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 (2019)