Nicholas Eliopoulos

Orcid: 0000-0003-1692-8586

According to our database1, Nicholas Eliopoulos authored at least 12 papers between 2022 and 2025.

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

Timeline

2022
2023
2024
2025
0
1
2
3
4
5
6
1
3
2
1
2
1
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Detecting Music Performance Errors with Transformers.
CoRR, January, 2025

2024
Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions.
CoRR, 2024

Token Turing Machines are Efficient Vision Models.
CoRR, 2024

Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge.
CoRR, 2024

Securing Deep Neural Networks on Edge from Membership Inference Attacks Using Trusted Execution Environments.
Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023
Tree-Based Unidirectional Neural Networks for Low-Power Computer Vision.
IEEE Des. Test, June, 2023

An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions.
CoRR, 2023

Lightning Talk 6: Bringing Together Foundation Models and Edge Devices.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Why Accuracy is Not Enough: The Need for Consistency in Object Detection.
IEEE Multim., 2022

Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision.
Proceedings of the ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1, 2022

Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022


  Loading...