| 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 | 187 | 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 | 167 | 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 | 131 | 2020 |
| Neural networks on microcontrollers: saving memory at inference via operator reordering E Liberis, ND Lane arXiv preprint arXiv:1910.05110, 2019 | 62 | 2019 |
| 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 | 44 | 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 | 32 | 2022 |
| 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 | 24 | 2018 |
| 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 | 8 | 2022 |
| μNAS: Constrained neural architecture search for microcontrollers (2020) E Liberis, Ł Dudziak, ND Lane Preprint arXiv, 2010 | 5 | 2010 |
| 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 | | |