| A TT-based hierarchical framework for decomposing high-order tensors Y Zniyed, R Boyer, ALF De Almeida, G Favier SIAM Journal on Scientific Computing 42 (2), A822-A848, 2020 | 37 | 2020 |
| High-order tensor estimation via trains of coupled third-order CP and Tucker decompositions Y Zniyed, R Boyer, ALF De Almeida, G Favier Linear Algebra and its Applications 588, 304-337, 2020 | 27 | 2020 |
| Tensor methods for multisensor signal processing S Miron, Y Zniyed, R Boyer, A Lima Ferrer de Almeida, G Favier, D Brie, ... IET signal processing 14 (10), 693-709, 2020 | 21 | 2020 |
| High-order CPD estimation with dimensionality reduction using a tensor train model Y Zniyed, R Boyer, ALF de Almeida, G Favier 2018 26th European Signal Processing Conference (EUSIPCO), 2613-2617, 2018 | 21 | 2018 |
| Tensor train representation of MIMO channels using the JIRAFE method Y Zniyed, R Boyer, ALF De Almeida, G Favier Signal Processing 171, 107479, 2020 | 13 | 2020 |
| Multidimensional harmonic retrieval based on vandermonde tensor train Y Zniyed, R Boyer, ALF de Almeida, G Favier Signal Processing 163, 75-86, 2019 | 13 | 2019 |
| Tensor-train modeling for MIMO-OFDM tensor coding-and-forwarding relay systems Y Zniyed, R Boyer, ALF de Almeida, G Favier 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 11 | 2019 |
| Learning nonlinearities in the decoupling problem with structured CPD Y Zniyed, K Usevich, S Miron, D Brie IFAC-PapersOnLine 54 (7), 685-690, 2021 | 6 | 2021 |
| Uniqueness of tensor train decomposition with linear dependencies Y Zniyed, S Miron, R Boyer, D Brie 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 5 | 2019 |
| Breaking the curse of dimensionality based on tensor train: models and algorithms Y Zniyed Université Paris Saclay (COmUE), 2019 | 5 | 2019 |
| Low-rank tensor decompositions for quaternion multiway arrays O Imhogiemhe, J Flamant, X Luciani, Y Zniyed, S Miron ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| Enhanced network compression through tensor decompositions and pruning VT Pham, Y Zniyed, TP Nguyen IEEE Transactions on Neural Networks and Learning Systems, 2024 | 3 | 2024 |
| A tensor-based approach for training flexible neural networks Y Zniyed, K Usevich, S Miron, D Brie 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1673-1677, 2021 | 3 | 2021 |
| Tensor-based framework for training flexible neural networks Y Zniyed, K Usevich, S Miron, D Brie arXiv preprint arXiv:2106.13542, 2021 | 3 | 2021 |
| Tensor-based two-layer decoupling of multivariate polynomial maps K Usevich, Y Zniyed, M Ishteva, P Dreesen, ALF de Almeida 2023 31st European Signal Processing Conference (EUSIPCO), 655-659, 2023 | 2 | 2023 |
| Tucker Decomposition Based on a Tensor Train of Coupled and Constrained CP Cores M Giraud, V Itier, R Boyer, Y Zniyed, ALF de Almeida IEEE Signal Processing Letters 30, 758-762, 2023 | 2 | 2023 |
| Breaking the curse of dimensionality for coupled matrix-tensor factorization A Boudehane, Y Zniyed, A Tenenhaus, L Le Brusquet, R Boyer 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 2 | 2019 |
| Efficient tensor decomposition-based filter pruning VT Pham, Y Zniyed, TP Nguyen Neural Networks, 2024 | 1* | 2024 |
| Two-layer decoupling of multivariate polynomials with coupled ParaTuck and CP decompositions K Usevich, Y Zniyed, M Ishteva, P Dreesen, ALF de Almeida | 1 | 2023 |
| A Stochastic Algorithm for the Paratuck Decomposition Y Zniyed, A L.F. de Almeida Digital Signal Processing 156, 104767, 2024 | | 2024 |
Remy BoyerUniversity of Lille / CRIStAL lab.Bestätigte E-Mail-Adresse bei univ-lille.fr
