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Javier Alonso García
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2020 – today
- 2023
- [c2]Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García:
A Statistical Model for Predicting Generalization in Few-Shot Classification. EUSIPCO 2023: 1260-1264 - 2022
- [i5]Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García:
A Statistical Model for Predicting Generalization in Few-Shot Classification. CoRR abs/2212.06461 (2022) - 2020
- [j1]Fabien Cardinaux
, Stefan Uhlich
Iteratively Training Look-Up Tables for Network Quantization. IEEE J. Sel. Top. Signal Process. 14(4): 860-870 (2020) - [c1]Stefan Uhlich, Lukas Mauch, Fabien Cardinaux, Kazuki Yoshiyama, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Mixed Precision DNNs: All you need is a good parametrization. ICLR 2020 - [i4]Lukas Mauch, Stephen Tiedemann, Javier Alonso García, Bac Nguyen Cong, Kazuki Yoshiyama, Fabien Cardinaux, Thomas Kemp:
Efficient Sampling for Predictor-Based Neural Architecture Search. CoRR abs/2011.12043 (2020)
2010 – 2019
- 2019
- [i3]Stefan Uhlich, Lukas Mauch, Kazuki Yoshiyama, Fabien Cardinaux, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Differentiable Quantization of Deep Neural Networks. CoRR abs/1905.11452 (2019) - [i2]Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Lukas Mauch, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Iteratively Training Look-Up Tables for Network Quantization. CoRR abs/1911.04951 (2019) - 2018
- [i1]Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Iteratively Training Look-Up Tables for Network Quantization. CoRR abs/1811.05355 (2018)
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