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Andreas Karatzas
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2020 – today
- 2025
- [i7]Chaehong Lee, Varatheepan Paramanayakam, Andreas Karatzas, Yanan Jian, Michael Fore, Heming Liao, Fuxun Yu, Ruopu Li, Iraklis Anagnostopoulos, Dimitrios Stamoulis:
Multi-Agent Geospatial Copilots for Remote Sensing Workflows. CoRR abs/2501.16254 (2025) - 2024
- [j2]Andreas Karatzas
, Iraklis Anagnostopoulos
:
Pythia: An Edge-First Agent for State Prediction in High-Dimensional Environments. IEEE Embed. Syst. Lett. 16(4): 473-476 (2024) - [j1]Konstantinos Balaskas
, Andreas Karatzas
, Christos Sad
, Kostas Siozios
, Iraklis Anagnostopoulos
, Georgios Zervakis
, Jörg Henkel
:
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization. IEEE Trans. Emerg. Top. Comput. 12(4): 1079-1092 (2024) - [i6]Simranjit Singh, Andreas Karatzas, Michael Fore, Iraklis Anagnostopoulos, Dimitrios Stamoulis:
An LLM-Tool Compiler for Fused Parallel Function Calling. CoRR abs/2405.17438 (2024) - [i5]Simranjit Singh, Michael Fore, Andreas Karatzas, Chaehong Lee, Yanan Jian, Longfei Shangguan, Fuxun Yu, Iraklis Anagnostopoulos, Dimitrios Stamoulis:
LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching. CoRR abs/2406.06799 (2024) - [i4]Varatheepan Paramanayakam, Andreas Karatzas, Iraklis Anagnostopoulos, Dimitrios Stamoulis:
Less is More: Optimizing Function Calling for LLM Execution on Edge Devices. CoRR abs/2411.15399 (2024) - [i3]Andreas Karatzas, Dimitrios Stamoulis, Iraklis Anagnostopoulos:
RankMap: Priority-Aware Multi-DNN Manager for Heterogeneous Embedded Devices. CoRR abs/2411.17867 (2024) - 2023
- [c2]Andreas Karatzas, Iraklis Anagnostopoulos:
OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload. DAC 2023: 1-6 - [i2]Andreas Karatzas, Iraklis Anagnostopoulos:
OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload. CoRR abs/2307.03290 (2023) - [i1]Konstantinos Balaskas
, Andreas Karatzas, Christos Sad, Kostas Siozios, Iraklis Anagnostopoulos, Georgios Zervakis
, Jörg Henkel:
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization. CoRR abs/2312.15322 (2023) - 2022
- [c1]Andreas Karatzas, Aristeidis Karras
, Christos N. Karras
, Konstantinos C. Giotopoulos
, Konstantinos Oikonomou
, Spyros Sioutas
:
On Autonomous Drone Navigation Using Deep Learning and an Intelligent Rainbow DQN Agent. IDEAL 2022: 134-145
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