Edgar Liberis

According to our database, Edgar Liberis authored at least 10 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Differentiable Neural Network Pruning to Enable Smart Applications on Microcontrollers.

Edgar Liberis, Nicholas D. Lane

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution.

Edgar Liberis, Nicholas D. Lane

CoRR, 2022

Deep learning on microcontrollers: a study on deployment costs and challenges.

Filip Svoboda, Javier Fernández-Marqués, Edgar Liberis, Nicholas D. Lane

Proceedings of the EuroMLSys '22: Proceedings of the 2nd European Workshop on Machine Learning and Systems, Rennes, France, April 5, 2022

2021

Differentiable Network Pruning for Microcontrollers.

Edgar Liberis, Nicholas D. Lane

CoRR, 2021

μNAS: Constrained Neural Architecture Search for Microcontrollers.

Edgar Liberis, Lukasz Dudziak, Nicholas D. Lane

Proceedings of the EuroMLSys@EuroSys 2021, 2021

2020

The Final Frontier: Deep Learning in Space.

Vivek Kothari, Edgar Liberis, Nicholas D. Lane

Proceedings of the HotMobile '20: The 21st International Workshop on Mobile Computing Systems and Applications, 2020

2019

Neural networks on microcontrollers: saving memory at inference via operator reordering.

Edgar Liberis, Nicholas D. Lane

CoRR, 2019

2018

Parapred: antibody paratope prediction using convolutional and recurrent neural networks.

Edgar Liberis, Petar Velickovic, Pietro Sormanni, Michele Vendruscolo, Pietro Liò

Bioinform., 2018

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

Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018

2017

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