Andreas Karatzas

According to our database, Andreas Karatzas authored at least 14 papers between 2022 and 2025.

Collaborative distances:

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

2025

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices.

Varatheepan Paramanayakam, Andreas Karatzas, Iraklis Anagnostopoulos, Dimitrios Stamoulis

CoRR, April, 2025

Ecomap: Sustainability-Driven Optimization of Multi-Tenant DNN Execution on Edge Servers.

Varatheepan Paramanayakam, Andreas Karatzas, Dimitrios Stamoulis, Iraklis Anagnostopoulos

CoRR, March, 2025

Multi-Agent Geospatial Copilots for Remote Sensing Workflows.

Chaehong Lee, Varatheepan Paramanayakam, Andreas Karatzas, Yanan Jian, Michael Fore, Heming Liao, Fuxun Yu, Ruopu Li, Iraklis Anagnostopoulos, Dimitrios Stamoulis

CoRR, January, 2025

Balancing Throughput and Fair Execution of Multi-DNN Workloads on Heterogeneous Embedded Devices.

Andreas Karatzas, Iraklis Anagnostopoulos

IEEE Trans. Emerg. Top. Comput., 2025

A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers.

Aikaterini Maria Panteleaki, Varatheepan Paramanayakam, Vasileios Pentsos, Andreas Karatzas, Spyros Tragoudas, Iraklis Anagnostopoulos

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2025

Less is More: Optimizing Function Calling for LLM Execution on Edge Devices.

Varatheepan Paramanayakam, Andreas Karatzas, Iraklis Anagnostopoulos, Dimitrios Stamoulis

Proceedings of the Design, Automation & Test in Europe Conference, 2025

RankMap: Priority-Aware Multi-DNN Manager for Heterogeneous Embedded Devices.

Andreas Karatzas, Dimitrios Stamoulis, Iraklis Anagnostopoulos

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

Pythia: An Edge-First Agent for State Prediction in High-Dimensional Environments.

Andreas Karatzas, Iraklis Anagnostopoulos

IEEE Embed. Syst. Lett., December, 2024

Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization.

Konstantinos Balaskas, Andreas Karatzas, Christos Sad, Kostas Siozios, Iraklis Anagnostopoulos, Georgios Zervakis, Jörg Henkel

IEEE Trans. Emerg. Top. Comput., 2024

LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching.

Simranjit Singh, Michael Fore, Andreas Karatzas, Chaehong Lee, Yanan Jian, Longfei Shangguan, Fuxun Yu, Iraklis Anagnostopoulos, Dimitrios Stamoulis

CoRR, 2024

An LLM-Tool Compiler for Fused Parallel Function Calling.

Simranjit Singh, Andreas Karatzas, Michael Fore, Iraklis Anagnostopoulos, Dimitrios Stamoulis

CoRR, 2024

MapFormer: Attention-based multi-DNN manager for throughout & power co-optimization on embedded devices.

Andreas Karatzas, Iraklis Anagnostopoulos

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

2023

OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload.

Andreas Karatzas, Iraklis Anagnostopoulos

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

2022

On Autonomous Drone Navigation Using Deep Learning and an Intelligent Rainbow DQN Agent.

Andreas Karatzas, Aristeidis Karras, Christos N. Karras, Konstantinos C. Giotopoulos, Konstantinos Oikonomou, Spyros Sioutas

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022