Ramon Matas Navarro

According to our database, Ramon Matas Navarro authored at least 7 papers between 2021 and 2023.

Collaborative distances:

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

2023

PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices.

Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough

CoRR, 2023

2022

UDC: Unified DNAS for Compressible TinyML Models.

Igor Fedorov, Ramon Matas Navarro, Hokchhay Tann, Chuteng Zhou, Matthew Mattina, Paul N. Whatmough

CoRR, 2022

UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units.

Igor Fedorov, Ramon Matas Navarro, Hokchhay Tann, Chuteng Zhou, Matthew Mattina, Paul N. Whatmough

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Collapsible Linear Blocks for Super-Efficient Super Resolution.

Kartikeya Bhardwaj, Milos Milosavljevic, Liam O'Neil, Dibakar Gope, Ramon Matas Navarro, Alex Chalfin, Naveen Suda, Lingchuan Meng, Danny Loh

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2021

MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers.

Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Debiasing Model Updates for Improving Personalized Federated Training.

Durmus Alp Emre Acar, Yue Zhao, Ruizhao Zhu, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama

Proceedings of the 38th International Conference on Machine Learning, 2021

Federated Learning Based on Dynamic Regularization.

Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama

Proceedings of the 9th International Conference on Learning Representations, 2021