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 | 148 | 2018 |
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 | 123 | 2021 |
The final frontier: Deep learning in space V Kothari, E Liberis, ND Lane Proceedings of the 21st international workshop on mobile computing systems …, 2020 | 96 | 2020 |
Neural networks on microcontrollers: saving memory at inference via operator reordering E Liberis, ND Lane arXiv preprint arXiv:1910.05110, 2019 | 51 | 2019 |
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 | 23 | 2018 |
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 | 19 | 2023 |
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 | 15 | 2022 |
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 | 3 | 2022 |
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 | | |