Alessio Colucci

17 papers A* 1A 2B 3C 2Misc 1Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	C	`conf`	EISFINN: On the Role of Efficient Importance Sampling in Fault Injection Campaigns for Neural Network Robustness Analysis. IOLTS Alessio Colucci, Andreas Steininger, Muhammad Shafique
2024	C	`conf`	SBanTEM: A Novel Methodology for Sparse Band Tensors as Soft-Error Mitigation in Sparse Convolutional Neural Networks. IOLTS Alessio Colucci, Andreas Steininger, Muhammad Shafique
2023	J	`jnl`	ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning. CoRR Alessio Colucci, Andreas Steininger, Muhammad Shafique
2023	B	`conf`	RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. IJCNN Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique
2023	J	`jnl`	RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. CoRR Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique
2023	—	`conf`	Towards Transient Fault Mitigation Techniques Optimized for Compressed Neural Networks. DSN-S Alessio Colucci
2022	B	`conf`	NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. IJCNN Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique
2022	J	`jnl`	NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. CoRR Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique
2022	A	`conf`	enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. IROS Alessio Colucci, Andreas Steininger, Muhammad Shafique
2022	J	`jnl`	enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. CoRR Alessio Colucci, Andreas Steininger, Muhammad Shafique
2021	A	`conf`	MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. DATE Alessio Colucci, Dávid Juhász, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Günther Nadbath, Axel Jantsch, Muhammad Shafique
2020	Misc	`conf`	A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress. CODES+ISSS Alessio Colucci, Alberto Marchisio, Beatrice Bussolino, Vojtech Mrazek, Maurizio Martina, Guido Masera, Muhammad Shafique
2020	B	`conf`	FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks. IJCNN Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique
2020	J	`jnl`	MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. CoRR Alessio Colucci, Dávid Juhász, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Guenther Nadbath, Axel Jantsch, Muhammad Shafique
2020	A*	`conf`	Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. DAC Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique
2020	J	`jnl`	Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. CoRR Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique
2019	J	`jnl`	X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations. CoRR Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique