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Xavier Timoneda
Xavier Timoneda
Deep Learning engineer at IBM Research Zürich
Verified email at student.ethz.ch
Title
Cited by
Cited by
Year
Exploration of intercell wireless millimeter-wave communication in the landscape of intelligent metasurfaces
AC Tasolamprou, A Pitilakis, S Abadal, O Tsilipakos, X Timoneda, ...
IEEE access 7, 122931-122948, 2019
582019
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference
M Le Gallo, R Khaddam-Aljameh, M Stanisavljevic, A Vasilopoulos, ...
Nature Electronics 6 (9), 680-693, 2023
542023
Engineer the channel and adapt to it: Enabling wireless intra-chip communication
X Timoneda, S Abadal, A Franques, D Manessis, J Zhou, J Torrellas, ...
IEEE Transactions on Communications 68 (5), 3247-3258, 2020
412020
Channel characterization for chip-scale wireless communications within computing packages
X Timoneda, A Cabellos-Aparicio, D Manessis, E Alarcón, S Abadal
2018 Twelfth IEEE/ACM International Symposium on Networks-on-Chip (NOCS), 1-8, 2018
262018
Millimeter-wave propagation within a computer chip package
X Timoneda, S Abadal, A Cabellos-Aparicio, D Manessis, J Zhou, ...
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
192018
Temperature sensitivity of analog in-memory computing using phase-change memory
I Boybat, B Kersting, SG Sarwat, X Timoneda, RL Bruce, M BrightSky, ...
2021 IEEE International Electron Devices Meeting (IEDM), 28.3. 1-28.3. 4, 2021
172021
Radiation pattern prediction for metasurfaces: A neural network-based approach
H Taghvaee, A Jain, X Timoneda, C Liaskos, S Abadal, E Alarcón, ...
Sensors 21 (8), 2765, 2021
162021
Modeling the EM field distribution within a computer chip package
X Timoneda, S Abadal, A Cabellos-Aparicio, E Alarcón
arXiv preprint arXiv:1809.01432, 2018
52018
Late breaking results: Reinforcement learning for scalable logic optimization with graph neural networks
X Timoneda, L Cavigelli
2021 58th ACM/IEEE Design Automation Conference (DAC), 1378-1379, 2021
42021
Reinforcement learning for scalable logic optimization with graph neural networks
X Timoneda, L Cavigelli
arXiv preprint arXiv:2105.01755, 2021
32021
Nanoscale Channel Modeling in Highly Integrated Computing Packages
S Abadal, X Timoneda, J Solé-Pareta, E Alarcón, A Cabellos-Aparicio, ...
Nanoscale Networking and Communications Handbook, 127-150, 2019
2019
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