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Alexandros Kouris
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2020 – today
- 2024
- [j6]Stefanos Laskaridis, Stylianos I. Venieris, Alexandros Kouris, Rui Li, Nicholas D. Lane:
The Future of Consumer Edge-AI Computing. IEEE Pervasive Comput. 23(3): 21-30 (2024) - 2023
- [c14]Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane:
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. MICRO 2023: 353-366 - [i12]Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane:
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. CoRR abs/2310.11096 (2023) - 2022
- [c13]Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane:
Multi-Exit Semantic Segmentation Networks. ECCV (21) 2022: 330-349 - [c12]Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah:
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. MICRO 2022: 599-615 - [c11]Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane:
Adaptable mobile vision systems through multi-exit neural networks. MobiSys 2022: 575-576 - [i11]Hongxiang Fan, Thomas Chun-Pong Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah:
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. CoRR abs/2209.09570 (2022) - [i10]Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane:
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs. CoRR abs/2209.13443 (2022) - [i9]Stefanos Laskaridis, Stylianos I. Venieris, Alexandros Kouris, Rui Li, Nicholas D. Lane:
The Future of Consumer Edge-AI Computing. CoRR abs/2210.10514 (2022) - 2021
- [c10]Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane:
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions. EMDL@MobiSys 2021: 1-6 - [i8]Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane:
Multi-Exit Semantic Segmentation Networks. CoRR abs/2106.03527 (2021) - [i7]Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane:
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions. CoRR abs/2106.05022 (2021) - 2020
- [j5]Alexandros Kouris, Stylianos I. Venieris, Michail Rizakis, Christos-Savvas Bouganis:
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars. IEEE Consumer Electron. Mag. 9(4): 11-26 (2020) - [c9]Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis:
A Throughput-Latency Co-Optimised Cascade of Convolutional Neural Network Classifiers. DATE 2020: 1656-1661
2010 – 2019
- 2019
- [j4]Christos Kopanos, Vasilis Tsiolkas, Alexandros Kouris, Charles E. Chapple, Monica Albarca Aguilera, Richard Meyer, Andreas Massouras:
VarSome: the human genomic variant search engine. Bioinform. 35(11): 1978-1980 (2019) - [c8]Alexandros Kouris, Christos Kyrkou, Christos-Savvas Bouganis:
Informed Region Selection for Efficient UAV-based Object Detectors: Altitude-aware Vehicle Detection with CyCAR Dataset. IROS 2019: 51-58 - [c7]Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis:
Towards Efficient On-Board Deployment of DNNs on Intelligent Autonomous Systems. ISVLSI 2019: 568-573 - [i6]Alexandros Kouris, Stylianos I. Venieris, Michail Rizakis, Christos-Savvas Bouganis:
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars. CoRR abs/1905.00689 (2019) - 2018
- [j3]Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis:
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions. ACM Comput. Surv. 51(3): 56:1-56:39 (2018) - [j2]Alexandros Kouris, Fotios Dimeas, Nikos A. Aspragathos:
A Frequency Domain Approach for Contact Type Distinction in Human-Robot Collaboration. IEEE Robotics Autom. Lett. 3(2): 720-727 (2018) - [c6]Michalis Rizakis, Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis:
Approximate FPGA-Based LSTMs Under Computation Time Constraints. ARC 2018: 3-15 - [c5]Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis:
Cascade^CNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. FPL 2018: 155-162 - [c4]Alexandros Kouris, Christos-Savvas Bouganis:
Learning to Fly by MySelf: A Self-Supervised CNN-Based Approach for Autonomous Navigation. IROS 2018: 1-9 - [c3]Alexia Toumpa, Alexandros Kouris, Fotios Dimeas, Nikos A. Aspragathos:
Control of a line following robot based on FSM estimation. SyRoCo 2018: 542-547 - [i5]Michalis Rizakis, Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis:
Approximate FPGA-based LSTMs under Computation Time Constraints. CoRR abs/1801.02190 (2018) - [i4]Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis:
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions. CoRR abs/1803.05900 (2018) - [i3]Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis:
CascadeCNN: Pushing the performance limits of quantisation. CoRR abs/1805.08743 (2018) - [i2]Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis:
Deploying Deep Neural Networks in the Embedded Space. CoRR abs/1806.08616 (2018) - [i1]Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis:
CascadeCNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. CoRR abs/1807.05053 (2018) - 2016
- [c2]Alexandros Kouris, Fotios Dimeas, Nikos A. Aspragathos:
Contact distinction in human-robot cooperation with admittance control. SMC 2016: 1951-1956 - 2015
- [j1]Ioannis E. Venetis, Alexandros Kouris, Alexandros Sobczyk, Efstratios Gallopoulos, Ahmed H. Sameh:
A direct tridiagonal solver based on Givens rotations for GPU architectures. Parallel Comput. 49: 101-116 (2015) - [c1]Ioannis E. Venetis, Alexandros Sobczyk, Alexandros Kouris, Alexandros Nakos, Nikolaos Nikoloutsakos, Efstratios Gallopoulos:
A general tridiagonal solver for coprocessors: Adapting g-Spike for the Intel Xeon Phi. PARCO 2015: 371-380
Coauthor Index
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last updated on 2024-11-07 21:30 CET by the dblp team
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