Alessio Colucci
Orcid: 0000-0003-1805-750X
According to our database1,
Alessio Colucci
authored at least 12 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
EISFINN: On the Role of Efficient Importance Sampling in Fault Injection Campaigns for Neural Network Robustness Analysis.
Proceedings of the 30th IEEE International Symposium on On-Line Testing and Robust System Design, 2024
SBanTEM: A Novel Methodology for Sparse Band Tensors as Soft-Error Mitigation in Sparse Convolutional Neural Networks.
Proceedings of the 30th IEEE International Symposium on On-Line Testing and Robust System Design, 2024
2023
ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning.
CoRR, 2023
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks.
Proceedings of the International Joint Conference on Neural Networks, 2023
Towards Transient Fault Mitigation Techniques Optimized for Compressed Neural Networks.
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.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
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.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
2020
FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress.
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.
CoRR, 2019