Alexandros Kouris

Orcid: 0000-0002-2900-430X

According to our database1, Alexandros Kouris authored at least 24 papers between 2015 and 2023.

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Bibliography

2023
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

2022
The Future of Consumer Edge-AI Computing.
CoRR, 2022

Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs.
CoRR, 2022

Adaptable mobile vision systems through multi-exit neural networks.
Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022

Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Multi-Exit Semantic Segmentation Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions.
Proceedings of the EMDL@MobiSys 2021: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, 2021

2020
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars.
IEEE Consumer Electron. Mag., 2020

A Throughput-Latency Co-Optimised Cascade of Convolutional Neural Network Classifiers.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019
VarSome: the human genomic variant search engine.
Bioinform., 2019

Towards Efficient On-Board Deployment of DNNs on Intelligent Autonomous Systems.
Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

Informed Region Selection for Efficient UAV-based Object Detectors: Altitude-aware Vehicle Detection with CyCAR Dataset.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
A Frequency Domain Approach for Contact Type Distinction in Human-Robot Collaboration.
IEEE Robotics Autom. Lett., 2018

Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions.
ACM Comput. Surv., 2018

CascadeCNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks.
CoRR, 2018

Deploying Deep Neural Networks in the Embedded Space.
CoRR, 2018

CascadeCNN: Pushing the performance limits of quantisation.
CoRR, 2018

Control of a line following robot based on FSM estimation.
Proceedings of the 12th IFAC Symposium on Robot Control, 2018

Learning to Fly by MySelf: A Self-Supervised CNN-Based Approach for Autonomous Navigation.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Cascade^CNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks.
Proceedings of the 28th International Conference on Field Programmable Logic and Applications, 2018

Approximate FPGA-Based LSTMs Under Computation Time Constraints.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2018

2016
Contact distinction in human-robot cooperation with admittance control.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015
A direct tridiagonal solver based on Givens rotations for GPU architectures.
Parallel Comput., 2015

A general tridiagonal solver for coprocessors: Adapting g-Spike for the Intel Xeon Phi.
Proceedings of the Parallel Computing: On the Road to Exascale, 2015


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