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Edgar Liberis
Edgar Liberis
Verificeret mail på cst.cam.ac.uk
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Parapred: antibody paratope prediction using convolutional and recurrent neural networks
E Liberis, P Veličković, P Sormanni, M Vendruscolo, P Liò
Bioinformatics 34 (17), 2944-2950, 2018
1472018
μnas: Constrained neural architecture search for microcontrollers
E Liberis, Ł Dudziak, ND Lane
Proceedings of the 1st Workshop on Machine Learning and Systems, 70-79, 2021
1172021
The final frontier: Deep learning in space
V Kothari, E Liberis, ND Lane
Proceedings of the 21st international workshop on mobile computing systems …, 2020
932020
Neural networks on microcontrollers: saving memory at inference via operator reordering
E Liberis, ND Lane
arXiv preprint arXiv:1910.05110, 2019
492019
Cross-modal recurrent models for weight objective prediction from multimodal time-series data
P Veličković, L Karazija, ND Lane, S Bhattacharya, E Liberis, P Liò, ...
proceedings of the 12th EAI international conference on pervasive computing …, 2018
232018
Differentiable neural network pruning to enable smart applications on microcontrollers
E Liberis, ND Lane
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2023
182023
Deep learning on microcontrollers: A study on deployment costs and challenges
F Svoboda, J Fernandez-Marques, E Liberis, ND Lane
Proceedings of the 2nd European Workshop on Machine Learning and Systems, 54-63, 2022
132022
Neural networks on microcontrollers: Saving memory at inference via operator reordering. arXiv 2019
E Liberis, ND Lane
arXiv preprint arXiv:1910.05110, 0
9
Pex: Memory-efficient microcontroller deep learning through partial execution
E Liberis, ND Lane
arXiv preprint arXiv:2211.17246, 2022
32022
Cross-modal Recurrent Models for Human Weight Objective Prediction from Multimodal Time-series Data.
P Velickovic, L Karazija, ND Lane, S Bhattacharya, E Liberis, P Liò, ...
CoRR, 2017
2017
In search of theoretically grounded pruning
F Svoboda, E Liberis, ND Lane
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Artikler 1–11