Dimitrios Stamoulis

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 32

Top Topics

Parameter Optimization

Textual Entailment Recognition

Top Venues

ACM Great Lakes Symposium on VLSI

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

Publications

Michael Fore, Simranjit Singh, Dimitrios Stamoulis
GeckOpt: LLM System Efficiency via Intent-Based Tool Selection. ACM Great Lakes Symposium on VLSI (2024)
Simranjit Singh, Michael Fore, Dimitrios Stamoulis
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots. CoRR (2024)
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 (2024)
Simranjit Singh, Andreas Karatzas, Michael Fore, Iraklis Anagnostopoulos, Dimitrios Stamoulis
An LLM-Tool Compiler for Fused Parallel Function Calling. CoRR (2024)
Michael Fore, Simranjit Singh, Chaehong Lee, Amritanshu Pandey, Antonios Anastasopoulos, Dimitrios Stamoulis
Unlearning Climate Misinformation in Large Language Models. CoRR (2024)
Michael Fore, Simranjit Singh, Dimitrios Stamoulis
GeckOpt: LLM System Efficiency via Intent-Based Tool Selection. CoRR (2024)
Simranjit Singh, Michael Fore, Dimitrios Stamoulis
Evaluating Tool-Augmented Agents in Remote Sensing Platforms. CoRR (2024)
Simranjit Singh, Georgios Pavlakos, Dimitrios Stamoulis
Evaluating Zero-Shot GPT-4V Performance on 3D Visual Question Answering Benchmarks. CoRR (2024)
Yanan Jian, Fuxun Yu, Simranjit Singh, Dimitrios Stamoulis
Stable Diffusion For Aerial Object Detection. CoRR (2023)
Fuxun Yu, Zirui Xu, Chenchen Liu, Dimitrios Stamoulis, Di Wang, Yanzhi Wang, Xiang Chen
AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Ting-Wu Chin, Dimitrios Stamoulis, Diana Marculescu
Putting the "Machine" Back in Machine Learning for Engineering Students. Teaching ML (2021)
Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen
Exploring the Design Space of Efficient Deep Neural Networks. SEC (2020)
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks. CoRR (2020)
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
Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination. CoRR (2020)
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. CoRR (2019)
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours. ECML/PKDD (2) (2019)
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours. CoRR (2019)
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
Single-Path NAS: Device-Aware Efficient ConvNet Design. CoRR (2019)
Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu
HyperPower: Power- and memory-constrained hyper-parameter optimization for neural networks. DATE (2018)
Zhuo Chen, Dimitrios Stamoulis, Diana Marculescu
Profit: Priority and Power/Performance Optimization for Many-Core Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (10) (2018)
Diana Marculescu, Dimitrios Stamoulis, Ermao Cai
Hardware-aware machine learning: modeling and optimization. ICCAD (2018)
Dimitrios Stamoulis, Ting-Wu Rudy Chin, Anand Krishnan Prakash, Haocheng Fang, Sribhuvan Sajja, Mitchell Bognar, Diana Marculescu
Designing adaptive neural networks for energy-constrained image classification. ICCAD (2018)
Diana Marculescu, Dimitrios Stamoulis, Ermao Cai
Hardware-Aware Machine Learning: Modeling and Optimization. CoRR (2018)
Dimitrios Stamoulis, Ting-Wu Chin, Anand Krishnan Prakash, Haocheng Fang, Sribhuvan Sajja, Mitchell Bognar, Diana Marculescu
Designing Adaptive Neural Networks for Energy-Constrained Image Classification. CoRR (2018)
Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks. CoRR (2017)
Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu
HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks. CoRR (2017)
Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu
\emphNeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks. ACML (2017)
Ruizhou Ding, Dimitrios Stamoulis, Kartikeya Bhardwaj, Diana Marculescu, Radu Marculescu
Enhancing precipitation models by capturing multivariate and multiscale climate dynamics. CySWATER@CPSWeek (2017)
Ermao Cai, Dimitrios Stamoulis, Diana Marculescu
Exploring aging deceleration in FinFET-based multi-core systems. ICCAD (2016)
Dimitrios Stamoulis, Simone Corbetta, Dimitrios Rodopoulos, Pieter Weckx, Peter Debacker, Brett H. Meyer, Ben Kaczer, Praveen Raghavan, Dimitrios Soudris, Francky Catthoor, Zeljko Zilic
Capturing True Workload Dependency of BTI-induced Degradation in CPU Components. ACM Great Lakes Symposium on VLSI (2016)
Dimitrios Stamoulis, Diana Marculescu
Can We Guarantee Performance Requirements under Workload and Process Variations? ISLPED (2016)
Dimitrios Stamoulis, Dimitrios Rodopoulos, Brett H. Meyer, Dimitrios Soudris, Francky Catthoor, Zeljko Zilic
Efficient Reliability Analysis of Processor Datapath using Atomistic BTI Variability Models. ACM Great Lakes Symposium on VLSI (2015)
Dimitrios Rodopoulos, Dimitrios Stamoulis, Grigorios Lyras, Dimitrios Soudris, Francky Catthoor
Understanding timing impact of BTI/RTN with massively threaded atomistic transient simulations. ICICDT (2014)
Dimitrios Stamoulis, Dimitrios Rodopoulos, Brett H. Meyer, Dimitrios Soudris, Zeljko Zilic
Linear regression techniques for efficient analysis of transistor variability. ICECS (2014)