Concepedia
Statistics
Publications
11
Citations
323
H-Index
10
Active since
2018
Affiliations
University of Oxford(Current)
University of Cambridge
Javier Fernández-Marqués is an author at University of Oxford specializing in computer science, machine learning, and computing.
Publications per year
2018–2024
An Empirical study of Binary Neural Networks' Optimisation
Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane et al. · International Conference on Learning Representations · 2018 · 63 citations
Computing, Computer Science, Artificial Intelligence +8
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Shyam A. Tailor, Javier Fernández-Marqués, Nicholas D. Lane · 2021 · 63 citations
Computing, Computer Science, Knowledge Representation +11
FLOWER: A FRIENDLY FEDERATED LEARNING FRAMEWORK
Daniel J. Beutel, Taner Topal, Akhil Mathur et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2022 · 57 citations
Computing, Computer Engineering, Computer Science +17
End-to-End Speech Recognition from Federated Acoustic Models
Yan Gao, Titouan Parcollet, Salah Zaiem et al. · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · 2022 · 35 citations · Full text
Computing, Computer Science, Computational Linguistics +11
Shyam A. Tailor, Javier Fernández-Marqués, Nicholas D. Lane · arXiv (Cornell University) · 2020 · 20 citations · Full text
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