Dimitrios Stamoulis

52 papers A 7C 1Misc 1Journal 32Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Automated Multi-Agent Workflows for RTL Design.
CoRR
Amulya Bhattaram, Janani Ramamoorthy, Ranit Gupta, Diana Marculescu, Dimitrios Stamoulis
2025 J jnl
CORE: Full-Path Evaluation of LLM Agents Beyond Final State.
CoRR
Panagiotis Michelakis, Yiannis Hadjiyiannis, Dimitrios Stamoulis
2025 J jnl
CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices.
CoRR
Varatheepan Paramanayakam, Andreas Karatzas, Iraklis Anagnostopoulos, Dimitrios Stamoulis
2025 J jnl
Ecomap: Sustainability-Driven Optimization of Multi-Tenant DNN Execution on Edge Servers.
CoRR
Varatheepan Paramanayakam, Andreas Karatzas, Dimitrios Stamoulis, Iraklis Anagnostopoulos
2025 J jnl
Ecomap: Sustainability-Driven Optimization of Multi-Tenant DNN Execution on Edge Servers.
IEEE Trans. Computers
Varatheepan Paramanayakam, Andreas Karatzas, Dimitrios Stamoulis, Iraklis Anagnostopoulos
2025 J jnl
Geo-OLM: Enabling Sustainable Earth Observation Studies with Cost-Efficient Open Language Models & State-Driven Workflows.
CoRR
Dimitrios Stamoulis, Diana Marculescu
2025 — conf
GeoFlow: Agentic Workflow Automation for Geospatial Tasks.
SIGSPATIAL/GIS
Amulya Bhattaram, Justin Chung, Stanley Chung, Ranit Gupta, Janani Ramamoorthy, Kartikeya Gullapalli, Diana Marculescu, Dimitrios Stamoulis
2025 J jnl
GeoFlow: Agentic Workflow Automation for Geospatial Tasks.
CoRR
Amulya Bhattaram, Justin Chung, Stanley Chung, Ranit Gupta, Janani Ramamoorthy, Kartikeya Gullapalli, Diana Marculescu, Dimitrios Stamoulis
2025 A conf
Less is More: Optimizing Function Calling for LLM Execution on Edge Devices.
DATE
Varatheepan Paramanayakam, Andreas Karatzas, Iraklis Anagnostopoulos, Dimitrios Stamoulis
2025 J jnl
Multi-Agent Geospatial Copilots for Remote Sensing Workflows.
CoRR
Chaehong Lee, Varatheepan Paramanayakam, Andreas Karatzas, Yanan Jian, Michael Fore, Heming Liao, Fuxun Yu, Ruopu Li, Iraklis Anagnostopoulos, Dimitrios Stamoulis
2025 J jnl
PowerChain: Automating Distribution Grid Analysis with Agentic AI Workflows.
CoRR
Emmanuel O. Badmus, Peng Sang, Dimitrios Stamoulis, Amritanshu Pandey
2025 A conf
RankMap: Priority-Aware Multi-DNN Manager for Heterogeneous Embedded Devices.
DATE
Andreas Karatzas, Dimitrios Stamoulis, Iraklis Anagnostopoulos
2025 J jnl
Rethinking Latency-Aware DNN Design With GPU Tail Effect Analysis.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Fuxun Yu, Zirui Xu, Longfei Shangguan, Di Wang, Dimitrios Stamoulis, Rishi Madhok, Nikolaos Karianakis, Ang Li, Chenchen Liu, Yiran Chen, Xiang Chen
2024 J jnl
An LLM-Tool Compiler for Fused Parallel Function Calling.
CoRR
Simranjit Singh, Andreas Karatzas, Michael Fore, Iraklis Anagnostopoulos, Dimitrios Stamoulis
2024 J jnl
Evaluating Tool-Augmented Agents in Remote Sensing Platforms.
CoRR
Simranjit Singh, Michael Fore, Dimitrios Stamoulis
2024 J jnl
Evaluating Zero-Shot GPT-4V Performance on 3D Visual Question Answering Benchmarks.
CoRR
Simranjit Singh, Georgios Pavlakos, Dimitrios Stamoulis
2024 — conf
GECO: GPT-Driven Estimation of 3D Human-Scene Contact in the Wild.
ECCV Workshops (12)
Chaehong Lee, Simranjit Singh, Michael Fore, Georgios Pavlakos, Dimitrios Stamoulis
2024 — conf
GeckOpt: LLM System Efficiency via Intent-Based Tool Selection.
ACM Great Lakes Symposium on VLSI
Michael Fore, Simranjit Singh, Dimitrios Stamoulis
2024 J jnl
GeckOpt: LLM System Efficiency via Intent-Based Tool Selection.
CoRR
Michael Fore, Simranjit Singh, Dimitrios Stamoulis
2024 — conf
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots.
CVPR Workshops
Simranjit Singh, Michael Fore, Dimitrios Stamoulis
2024 J jnl
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots.
CoRR
Simranjit Singh, Michael Fore, Dimitrios Stamoulis
2024 J jnl
LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching.
CoRR
Simranjit Singh, Michael Fore, Andreas Karatzas, Chaehong Lee, Yanan Jian, Longfei Shangguan, Fuxun Yu, Iraklis Anagnostopoulos, Dimitrios Stamoulis
2024 J jnl
Less is More: Optimizing Function Calling for LLM Execution on Edge Devices.
CoRR
Varatheepan Paramanayakam, Andreas Karatzas, Iraklis Anagnostopoulos, Dimitrios Stamoulis
2024 J jnl
RankMap: Priority-Aware Multi-DNN Manager for Heterogeneous Embedded Devices.
CoRR
Andreas Karatzas, Dimitrios Stamoulis, Iraklis Anagnostopoulos
2024 J jnl
Unlearning Climate Misinformation in Large Language Models.
CoRR
Michael Fore, Simranjit Singh, Chaehong Lee, Amritanshu Pandey, Antonios Anastasopoulos, Dimitrios Stamoulis
2023 J jnl
Stable Diffusion For Aerial Object Detection.
CoRR
Yanan Jian, Fuxun Yu, Simranjit Singh, Dimitrios Stamoulis
2022 J jnl
AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Fuxun Yu, Zirui Xu, Chenchen Liu, Dimitrios Stamoulis, Di Wang, Yanzhi Wang, Xiang Chen
2021 — conf
Putting the "Machine" Back in Machine Learning for Engineering Students.
Teaching ML
Ting-Wu Chin, Dimitrios Stamoulis, Diana Marculescu
2020 Misc conf
Exploring the Design Space of Efficient Deep Neural Networks.
SEC
Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen
2020 J jnl
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization.
IEEE J. Sel. Top. Signal Process.
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
2020 J jnl
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks.
CoRR
Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen
2020 J jnl
Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination.
CoRR
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
2019 J jnl
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization.
CoRR
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
2019 — conf
Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours.
ECML/PKDD (2)
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
2019 J jnl
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours.
CoRR
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
2019 J jnl
Single-Path NAS: Device-Aware Efficient ConvNet Design.
CoRR
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
2018 J jnl
Designing Adaptive Neural Networks for Energy-Constrained Image Classification.
CoRR
Dimitrios Stamoulis, Ting-Wu (Rudy) Chin, Anand Krishnan Prakash, Haocheng Fang, Sribhuvan Sajja, Mitchell Bognar, Diana Marculescu
2018 A conf
Designing adaptive neural networks for energy-constrained image classification.
ICCAD
Dimitrios Stamoulis, Ting-Wu (Rudy) Chin, Anand Krishnan Prakash, Haocheng Fang, Sribhuvan Sajja, Mitchell Bognar, Diana Marculescu
2018 J jnl
Hardware-Aware Machine Learning: Modeling and Optimization.
CoRR
Diana Marculescu, Dimitrios Stamoulis, Ermao Cai
2018 A conf
Hardware-aware machine learning: modeling and optimization.
ICCAD
Diana Marculescu, Dimitrios Stamoulis, Ermao Cai
2018 A conf
HyperPower: Power- and memory-constrained hyper-parameter optimization for neural networks.
DATE
Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu
2018 J jnl
Profit: Priority and Power/Performance Optimization for Many-Core Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Zhuo Chen, Dimitrios Stamoulis, Diana Marculescu
2017 — conf
Enhancing precipitation models by capturing multivariate and multiscale climate dynamics.
CySWATER@CPSWeek
Ruizhou Ding, Dimitrios Stamoulis, Kartikeya Bhardwaj, Diana Marculescu, Radu Marculescu
2017 J jnl
HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks.
CoRR
Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu
2017 J jnl
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks.
CoRR
Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu
2017 C conf
\emphNeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks.
ACML
Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu
2016 A conf
Can We Guarantee Performance Requirements under Workload and Process Variations?
ISLPED
Dimitrios Stamoulis, Diana Marculescu
2016 — conf
Capturing True Workload Dependency of BTI-induced Degradation in CPU Components.
ACM Great Lakes Symposium on VLSI
Dimitrios Stamoulis, Simone Corbetta, Dimitrios Rodopoulos, Pieter Weckx, Peter Debacker, Brett H. Meyer, Ben Kaczer, Praveen Raghavan, Dimitrios Soudris, Francky Catthoor, Zeljko Zilic
2016 A conf
Exploring aging deceleration in FinFET-based multi-core systems.
ICCAD
Ermao Cai, Dimitrios Stamoulis, Diana Marculescu
2015 — conf
Efficient Reliability Analysis of Processor Datapath using Atomistic BTI Variability Models.
ACM Great Lakes Symposium on VLSI
Dimitrios Stamoulis, Dimitrios Rodopoulos, Brett H. Meyer, Dimitrios Soudris, Francky Catthoor, Zeljko Zilic
2014 — conf
Linear regression techniques for efficient analysis of transistor variability.
ICECS
Dimitrios Stamoulis, Dimitrios Rodopoulos, Brett H. Meyer, Dimitrios Soudris, Zeljko Zilic
2014 — conf
Understanding timing impact of BTI/RTN with massively threaded atomistic transient simulations.
ICICDT
Dimitrios Rodopoulos, Dimitrios Stamoulis, Grigorios Lyras, Dimitrios Soudris, Francky Catthoor