| Fundamental limits of overparametrized shallow neural networks for supervised learning F Camilli, D Tieplova, J Barbier arXiv preprint arXiv:2307.05635, 2023 | 10 | 2023 |
| Distribution of eigenvalues of sample covariance matrices with tensor product samples D Tieplova arXiv preprint arXiv:1601.07443, 2016 | 6 | 2016 |
| On the behavior of large empirical autocovariance matrices between the past and the future P Loubaton, D Tieplova Random Matrices: Theory and Applications 10 (02), 2150021, 2021 | 2 | 2021 |
| On the largest singular values of certain large random matrices with application to the estimation of the minimal dimension of the state-space representations of high … D Tieplova, P Loubaton arXiv preprint arXiv:2110.11627, 2021 | 1 | 2021 |
| On the Limit Distribution of the Canonical Correlation Coefficients Between the Past and the Future of a High-Dimensional White Noise D Tieplova, P Loubaton, L Pastur ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 1 | 2020 |
| Information-theoretic limits and approximate message-passing for high-dimensional time series D Tieplova, S Lahiry, J Barbier arXiv preprint arXiv:2501.13625, 2025 | | 2025 |
| Estimation consistante de la dimension minimale des représentations d'état de séries temporelles multivariables de grandes dimensions D Tieplova, P Loubaton GRETSI (Groupe de Recherche et d'Etudes de Traitement du Signal et des …, 2022 | | 2022 |
| On the behaviour of the singular values of empirical autocovariance matrices in the high-dimensional case D TIEPLOVA, P LOUBATON, L PASTUR | | |
