Alessio Colucci

Orcid: 0000-0003-1805-750X

According to our database1, Alessio Colucci authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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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

NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks.
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

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


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