Ramon Matas Navarro

According to our database¹, Ramon Matas Navarro authored at least 7 papers between 2021 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

2022

UDC: Unified DNAS for Compressible TinyML Models.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of Machine Learning and Systems 2022, 2022

2021

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

[BibT_eX]

[DOI]

Proceedings of Machine Learning and Systems 2021, 2021

Debiasing Model Updates for Improving Personalized Federated Training.

[BibT_eX]

[DOI]

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

Federated Learning Based on Dynamic Regularization.

[BibT_eX]

[DOI]

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

Ramon Matas Navarro

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