Stefanos Laskaridis
Stefanos Laskaridis
Samsung AI Center Cambridge
Verified email at samsung.com - Homepage
Title
Cited by
Cited by
Year
EmBench: Quantifying performance variations of deep neural networks across modern commodity devices
M Almeida, S Laskaridis, I Leontiadis, SI Venieris, ND Lane
The 3rd international workshop on deep learning for mobile systems and …, 2019
312019
SPINN: synergistic progressive inference of neural networks over device and cloud
S Laskaridis, SI Venieris, M Almeida, I Leontiadis, ND Lane
Proceedings of the 26th Annual International Conference on Mobile Computing …, 2020
162020
Shrinkml: End-to-end asr model compression using reinforcement learning
Ł Dudziak, MS Abdelfattah, R Vipperla, S Laskaridis, ND Lane
arXiv preprint arXiv:1907.03540, 2019
102019
HAPI: hardware-aware progressive inference
S Laskaridis, SI Venieris, H Kim, ND Lane
2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2020
82020
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation
I Leontiadis, S Laskaridis, SI Venieris, ND Lane
Proceedings of the 22nd International Workshop on Mobile Computing Systems …, 2021
22021
Multi-Exit Semantic Segmentation Networks
A Kouris, SI Venieris, S Laskaridis, ND Lane
arXiv preprint arXiv:2106.03527, 2021
12021
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device
M Almeida, S Laskaridis, SI Venieris, I Leontiadis, ND Lane
arXiv preprint arXiv:2104.09949, 2021
12021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
S Horvath, S Laskaridis, M Almeida, I Leontiadis, SI Venieris, ND Lane
arXiv preprint arXiv:2102.13451, 2021
12021
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
S Laskaridis, A Kouris, ND Lane
arXiv preprint arXiv:2106.05022, 2021
2021
Method and system for implementing a variable accuracy neural network
S Laskaridis, H Kim, S Venieris
US Patent App. 16/923,447, 2021
2021
Tape SCSI monitoring and encryption at CERN
S Laskaridis, D Kruse, E Cano, S Murray, J Leduc, V Bahyl, G Cancio
J. Phys.: Conf. Ser. 898, 062005, 2017
2017
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