Dimitrios Stamoulis

According to our database, Dimitrios Stamoulis authored at least 29 papers between 2014 and 2024.

Collaborative distances:

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

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

Unlearning Climate Misinformation in Large Language Models.

Michael Fore, Simranjit Singh, Chaehong Lee, Amritanshu Pandey, Antonios Anastasopoulos, Dimitrios Stamoulis

CoRR, 2024

Evaluating Zero-Shot GPT-4V Performance on 3D Visual Question Answering Benchmarks.

Simranjit Singh, Georgios Pavlakos, 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

Evaluating Tool-Augmented Agents in Remote Sensing Platforms.

Simranjit Singh, Michael Fore, Dimitrios Stamoulis

CoRR, 2024

GeckOpt: LLM System Efficiency via Intent-Based Tool Selection.

Michael Fore, Simranjit Singh, Dimitrios Stamoulis

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots.

Simranjit Singh, Michael Fore, Dimitrios Stamoulis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Stable Diffusion For Aerial Object Detection.

Yanan Jian, Fuxun Yu, Simranjit Singh, Dimitrios Stamoulis

CoRR, 2023

2022

AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency.

Fuxun Yu, Zirui Xu, Chenchen Liu, Dimitrios Stamoulis, Di Wang, Yanzhi Wang, Xiang Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

2021

Putting the "Machine" Back in Machine Learning for Engineering Students.

Ting-Wu Chin, Dimitrios Stamoulis, Diana Marculescu

Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, 2021

2020

Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization.

Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu

IEEE J. Sel. Top. Signal Process., 2020

Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks.

Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen

CoRR, 2020

Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination.

Fuxun Yu, Zirui Xu, Tong Shen, Dimitrios Stamoulis, Longfei Shangguan, Di Wang, Rishi Madhok, Chunshui Zhao, Xin Li, Nikolaos Karianakis, Dimitrios Lymberopoulos, Ang Li, Chenchen Liu, Yiran Chen, Xiang Chen

CoRR, 2020

Exploring the Design Space of Efficient Deep Neural Networks.

Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen

Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

2019

Single-Path NAS: Device-Aware Efficient ConvNet Design.

Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu

CoRR, 2019

Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours.

Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Profit: Priority and Power/Performance Optimization for Many-Core Systems.

Zhuo Chen, Dimitrios Stamoulis, Diana Marculescu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Designing adaptive neural networks for energy-constrained image classification.

Dimitrios Stamoulis, Ting-Wu (Rudy) Chin, Anand Krishnan Prakash, Haocheng Fang, Sribhuvan Sajja, Mitchell Bognar, Diana Marculescu

Proceedings of the International Conference on Computer-Aided Design, 2018

Hardware-aware machine learning: modeling and optimization.

Diana Marculescu, Dimitrios Stamoulis, Ermao Cai

Proceedings of the International Conference on Computer-Aided Design, 2018

HyperPower: Power- and memory-constrained hyper-parameter optimization for neural networks.

Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks.

Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu

CoRR, 2017

Enhancing precipitation models by capturing multivariate and multiscale climate dynamics.

Ruizhou Ding, Dimitrios Stamoulis, Kartikeya Bhardwaj, Diana Marculescu, Radu Marculescu

Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks, 2017

\emphNeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks.

Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Can We Guarantee Performance Requirements under Workload and Process Variations?

Dimitrios Stamoulis, Diana Marculescu

Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016

Exploring aging deceleration in FinFET-based multi-core systems.

Ermao Cai, Dimitrios Stamoulis, Diana Marculescu

Proceedings of the 35th International Conference on Computer-Aided Design, 2016

Capturing True Workload Dependency of BTI-induced Degradation in CPU Components.

Dimitrios Stamoulis, Simone Corbetta, Dimitrios Rodopoulos, Pieter Weckx, Peter Debacker, Brett H. Meyer, Ben Kaczer, Praveen Raghavan, Dimitrios Soudris, Francky Catthoor, Zeljko Zilic

Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 2016

2015

Efficient Reliability Analysis of Processor Datapath using Atomistic BTI Variability Models.

Dimitrios Stamoulis, Dimitrios Rodopoulos, Brett H. Meyer, Dimitrios Soudris, Francky Catthoor, Zeljko Zilic

Proceedings of the 25th edition on Great Lakes Symposium on VLSI, GLVLSI 2015, Pittsburgh, PA, USA, May 20, 2015

2014

Understanding timing impact of BTI/RTN with massively threaded atomistic transient simulations.

Dimitrios Rodopoulos, Dimitrios Stamoulis, Grigorios Lyras, Dimitrios Soudris, Francky Catthoor

Proceedings of the 2014 IEEE International Conference on IC Design & Technology, 2014

Linear regression techniques for efficient analysis of transistor variability.

Dimitrios Stamoulis, Dimitrios Rodopoulos, Brett H. Meyer, Dimitrios Soudris, Zeljko Zilic

Proceedings of the 21st IEEE International Conference on Electronics, Circuits and Systems, 2014