Javier Alonso García

According to our database, Javier Alonso García authored at least 7 papers between 2018 and 2023.

Collaborative distances:

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

2023

A Statistical Model for Predicting Generalization in Few-Shot Classification.

Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García

Proceedings of the 31st European Signal Processing Conference, 2023

2022

A Statistical Model for Predicting Generalization in Few-Shot Classification.

Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García

CoRR, 2022

2020

Iteratively Training Look-Up Tables for Network Quantization.

Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Lukas Mauch, Stephen Tiedemann, Thomas Kemp, Akira Nakamura

IEEE J. Sel. Top. Signal Process., 2020

Efficient Sampling for Predictor-Based Neural Architecture Search.

Lukas Mauch, Stephen Tiedemann, Javier Alonso García, Bac Nguyen Cong, Kazuki Yoshiyama, Fabien Cardinaux, Thomas Kemp

CoRR, 2020

Mixed Precision DNNs: All you need is a good parametrization.

Stefan Uhlich, Lukas Mauch, Fabien Cardinaux, Kazuki Yoshiyama, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Differentiable Quantization of Deep Neural Networks.

Stefan Uhlich, Lukas Mauch, Kazuki Yoshiyama, Fabien Cardinaux, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura

CoRR, 2019

2018

Iteratively Training Look-Up Tables for Network Quantization.

Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura

CoRR, 2018