Taha Yassine

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 12

Top Topics

Laplacian Eigenmaps

Nonlinear Dimensionality Reduction

Top Venues

IEEE Trans. Wirel. Commun.

Publications

Mattia Merluzzi, Tamás Borsos, Nandana Rajatheva, András A. Benczúr, Hamed Farhadi, Taha Yassine, Markus Dominik Mueck, Sokratis Barmpounakis, Emilio Calvanese Strinati, Dilin Dampahalage, Panagiotis Demestichas, Pietro Ducange, Miltiadis C. Filippou, Leonardo Gomes Baltar, Johan Haraldson, Leyli Karaçay, Dani Korpi, Vasiliki Lamprousi, Francesco Marcelloni, Jafar Mohammadi, Nuwanthika Rajapaksha, Alessandro Renda, Mikko A. Uusitalo
The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G. IEEE Access 11 (2023)
Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Stéphane Paquelet, Olav Tirkkonen, Luc Le Magoarou
Model-Based Deep Learning for Beam Prediction Based on a Channel Chart. ACSSC (2023)
Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Stéphane Paquelet, Olav Tirkkonen, Luc Le Magoarou
Model-based Deep Learning for Beam Prediction based on a Channel Chart. CoRR (2023)
Taha Yassine, Luc Le Magoarou, Matthieu Crussière, Stéphane Paquelet
Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting. CoRR (2023)
Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière
Deep learning for location based beamforming with NLOS channels. CoRR (2022)
Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière
Channel charting based beamforming. CoRR (2022)
Taha Yassine, Luc Le Magoarou
mpNet: Variable Depth Unfolded Neural Network for Massive MIMO Channel Estimation. IEEE Trans. Wirel. Commun. 21 (7) (2022)
Taha Yassine, Luc Le Magoarou, Stéphane Paquelet, Matthieu Crussière
Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting. CoRR (2022)
Taha Yassine, Luc Le Magoarou, Stéphane Paquelet, Matthieu Crussière
Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting. SPAWC (2022)
Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière
Channel charting based beamforming. IEEECONF (2022)
Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière
Deep Learning for Location Based Beamforming with Nlos Channels. ICASSP (2022)
Taha Yassine, Luc Le Magoarou
mpNet: variable depth unfolded neural network for massive MIMO channel estimation. CoRR (2020)