Nicholas Eliopoulos

According to our database, Nicholas Eliopoulos authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Huiyun Peng, Arjun Gupte, Nicholas John Eliopoulos, Chien Chou Ho, Rishi Mantri, Leo Deng, Wenxin Jiang, Yung-Hsiang Lu, Konstantin Läufer, George K. Thiruvathukal, James C. Davis

CoRR, 2024

Securing Deep Neural Networks on Edge from Membership Inference Attacks Using Trusted Execution Environments.

Cheng-Yun Yang, Gowri Ramshankar, Nicholas Eliopoulos, Purvish Jajal, Sudarshan Nambiar, Evan Miller, Xun Zhang, Dave (Jing) Tian, Shuo-Han Chen, Chiy-Ferng Perng, Yung-Hsiang Lu

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.

Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Cheng-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

Tree-Based Unidirectional Neural Networks for Low-Power Computer Vision.

Abhinav Goel, Caleb Tung, Nick Eliopoulos, George K. Thiruvathukal, Amy Wang, Yung-Hsiang Lu, James C. Davis

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.

Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Chen-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu

CoRR, 2023

Lightning Talk 6: Bringing Together Foundation Models and Edge Devices.

Nick Eliopoulos, Yung-Hsiang Lu

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Why Accuracy is Not Enough: The Need for Consistency in Object Detection.

Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, Yung-Hsiang Lu, George K. Thiruvathukal

IEEE Multim., 2022

Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision.

Abhinav Goel, Caleb Tung, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu

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.

Caleb Tung, Abhinav Goel, Xiao Hu, Nick Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022