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ORCIDDimitrios Stamoulis
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2020 – today
- 2024
[c16]Simranjit Singh, Michael Fore, Dimitrios Stamoulis:
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots. CVPR Workshops 2024: 585-594- [c15]Michael Fore
, Simranjit Singh, Dimitrios Stamoulis:
GeckOpt: LLM System Efficiency via Intent-Based Tool Selection. ACM Great Lakes Symposium on VLSI 2024: 353-354 - [i17]Simranjit Singh, Michael Fore, Dimitrios Stamoulis:
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots. CoRR abs/2404.15500 (2024) - [i16]Michael Fore, Simranjit Singh, Dimitrios Stamoulis:
GeckOpt: LLM System Efficiency via Intent-Based Tool Selection. CoRR abs/2404.15804 (2024) - [i15]Simranjit Singh, Michael Fore, Dimitrios Stamoulis:
Evaluating Tool-Augmented Agents in Remote Sensing Platforms. CoRR abs/2405.00709 (2024) - [i14]Simranjit Singh, Andreas Karatzas, Michael Fore, Iraklis Anagnostopoulos, Dimitrios Stamoulis:
An LLM-Tool Compiler for Fused Parallel Function Calling. CoRR abs/2405.17438 (2024) - [i13]Simranjit Singh, Georgios Pavlakos, Dimitrios Stamoulis:
Evaluating Zero-Shot GPT-4V Performance on 3D Visual Question Answering Benchmarks. CoRR abs/2405.18831 (2024) - [i12]Michael Fore, Simranjit Singh, Chaehong Lee, Amritanshu Pandey, Antonios Anastasopoulos, Dimitrios Stamoulis:
Unlearning Climate Misinformation in Large Language Models. CoRR abs/2405.19563 (2024) - [i11]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) - 2023
- [i10]Yanan Jian, Fuxun Yu, Simranjit Singh, Dimitrios Stamoulis:
Stable Diffusion For Aerial Object Detection. CoRR abs/2311.12345 (2023) - 2022
- [j3]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): 4694-4707 (2022) - 2021
- [c14]Ting-Wu Chin, Dimitrios Stamoulis, Diana Marculescu:
Putting the "Machine" Back in Machine Learning for Engineering Students. Teaching ML 2021: 78-82 - 2020
- [j2]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): 609-622 (2020) - [c13]Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen:
Exploring the Design Space of Efficient Deep Neural Networks. SEC 2020: 317-318 - [i9]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 abs/2011.03897 (2020) - [i8]Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen:
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks. CoRR abs/2011.10912 (2020)
2010 – 2019
- 2019
- [c12]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: 481-497 - [i7]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 abs/1904.02877 (2019) - [i6]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path NAS: Device-Aware Efficient ConvNet Design. CoRR abs/1905.04159 (2019) - [i5]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 abs/1907.00959 (2019) - 2018
- [j1]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): 2064-2075 (2018) - [c11]Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu:
HyperPower: Power- and memory-constrained hyper-parameter optimization for neural networks. DATE 2018: 19-24 - [c10]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: 23 - [c9]Diana Marculescu, Dimitrios Stamoulis, Ermao Cai:
Hardware-aware machine learning: modeling and optimization. ICCAD 2018: 137 - [i4]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. CoRR abs/1808.01550 (2018) - [i3]Diana Marculescu, Dimitrios Stamoulis, Ermao Cai:
Hardware-Aware Machine Learning: Modeling and Optimization. CoRR abs/1809.05476 (2018) - 2017
- [c8]Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu:
\emphNeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks. ACML 2017: 622-637 - [c7]Ruizhou Ding, Dimitrios Stamoulis, Kartikeya Bhardwaj, Diana Marculescu, Radu Marculescu:
Enhancing precipitation models by capturing multivariate and multiscale climate dynamics. CySWATER@CPSWeek 2017: 39-42 - [i2]Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu:
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks. CoRR abs/1710.05420 (2017) - [i1]Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu:
HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks. CoRR abs/1712.02446 (2017) - 2016
- [c6]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: 373-376 - [c5]Ermao Cai, Dimitrios Stamoulis, Diana Marculescu:
Exploring aging deceleration in FinFET-based multi-core systems. ICCAD 2016: 111 - [c4]Dimitrios Stamoulis, Diana Marculescu:
Can We Guarantee Performance Requirements under Workload and Process Variations? ISLPED 2016: 308-313 - 2015
- [c3]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: 57-62 - 2014
- [c2]Dimitrios Stamoulis, Dimitrios Rodopoulos, Brett H. Meyer, Dimitrios Soudris, Zeljko Zilic:
Linear regression techniques for efficient analysis of transistor variability. ICECS 2014: 267-270 - [c1]Dimitrios Rodopoulos, Dimitrios Stamoulis, Grigorios Lyras, Dimitrios Soudris, Francky Catthoor:
Understanding timing impact of BTI/RTN with massively threaded atomistic transient simulations. ICICDT 2014: 1-4
Coauthor Index
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