Cross-modal Recurrent Models for Human Weight Objective Prediction from Multimodal Time-series Data. - Petar Velickovic; Laurynas Karazija; Nicholas D. Lane; Sourav Bhattacharya; Edgar Liberis; Pietro Liò; Angela Chieh; Otmane Bellahsen; Matthieu Vegreville (CoRR, 2017)

Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data. - Petar Velickovic; Laurynas Karazija; Nicholas D. Lane; Sourav Bhattacharya; Edgar Liberis; Pietro Liò; Angela Chieh; Otmane Bellahsen; Matthieu Vegreville (PervasiveHealth, 2018)

Parapred: antibody paratope prediction using convolutional and recurrent neural networks. - Edgar Liberis; Petar Velickovic; Pietro Sormanni; Michele Vendruscolo; Pietro Liò (Bioinform., 2018)

Neural networks on microcontrollers: saving memory at inference via operator reordering. - Edgar Liberis; Nicholas D. Lane (CoRR, 2019)

The Final Frontier: Deep Learning in Space. - Vivek Kothari; Edgar Liberis; Nicholas D. Lane (HotMobile, 2020)

μNAS: Constrained Neural Architecture Search for Microcontrollers. - Edgar Liberis; Lukasz Dudziak; Nicholas D. Lane (EuroMLSys@EuroSys, 2021)

Differentiable Network Pruning for Microcontrollers. - Edgar Liberis; Nicholas D. Lane (CoRR, 2021)

Deep learning on microcontrollers: a study on deployment costs and challenges. - Filip Svoboda; Javier Fernández-Marqués; Edgar Liberis; Nicholas D. Lane (EuroMLSys@EuroSys, 2022)

Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution. - Edgar Liberis; Nicholas D. Lane (CoRR, 2022)

Differentiable Neural Network Pruning to Enable Smart Applications on Microcontrollers. - Edgar Liberis; Nicholas D. Lane (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)