Alessio Colucci

According to our database, Alessio Colucci authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning.

Alessio Colucci, Andreas Steininger, Muhammad Shafique

CoRR, 2023

RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks.

Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique

Proceedings of the International Joint Conference on Neural Networks, 2023

Towards Transient Fault Mitigation Techniques Optimized for Compressed Neural Networks.

Alessio Colucci

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

2022

enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks.

Alessio Colucci, Andreas Steininger, Muhammad Shafique

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks.

Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences.

Alessio Colucci, Dávid Juhász, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Günther Nadbath, Axel Jantsch, Muhammad Shafique

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks.

Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks.

Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress.

Alessio Colucci, Alberto Marchisio, Beatrice Bussolino, Vojtech Mrazek, Maurizio Martina, Guido Masera, Muhammad Shafique

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2020

2019

X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations.

Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique

CoRR, 2019