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 001 (CoRR, 2019)

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 001 (CODES+ISSS, 2020)

Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. - Alberto Marchisio; Beatrice Bussolino; Alessio Colucci; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (DAC, 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 001 (IJCNN, 2020)

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 001 (DATE, 2021)

NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. - Mahya Morid Ahmadi; Lilas Alrahis; Alessio Colucci; Ozgur Sinanoglu; Muhammad Shafique 001 (IJCNN, 2022)

enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. - Alessio Colucci; Andreas Steininger; Muhammad Shafique 001 (IROS, 2022)

Towards Transient Fault Mitigation Techniques Optimized for Compressed Neural Networks. - Alessio Colucci (DSN-S, 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 001 (IJCNN, 2023)

ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning. - Alessio Colucci; Andreas Steininger; Muhammad Shafique 001 (CoRR, 2023)

SBanTEM: A Novel Methodology for Sparse Band Tensors as Soft-Error Mitigation in Sparse Convolutional Neural Networks. - Alessio Colucci; Andreas Steininger; Muhammad Shafique 001 (IOLTS, 2024)

EISFINN: On the Role of Efficient Importance Sampling in Fault Injection Campaigns for Neural Network Robustness Analysis. - Alessio Colucci; Andreas Steininger; Muhammad Shafique 001 (IOLTS, 2024)