| An Infinite Multivariate Categorical Mixture Model for Self-Diagnosis of Telecommunication Networks A Echraibi, J Flocon-Cholet, S Gosselin, S Vaton 2020 23rd Conference on Innovation in Clouds, Internet and Networks and …, 2020 | 5 | 2020 |
| On the Variational Posterior of Dirichlet Process Deep Latent Gaussian Mixture Models A Echraibi, J Flocon-Cholet, S Gosselin, S Vaton International Conference on Machine Learning 2020 INNF workshop, 2020 | 4 | 2020 |
| Deep Infinite Mixture Models for Fault Discovery in GPON-FTTH Networks A Echraibi, J Flocon-Cholet, S Gosselin, S Vaton IEEE Access 9, 90488-90499, 2021 | 2 | 2021 |
| Stochastic Backpropagation through Fourier Transforms A Echraibi, J Flocon-Cholet, S Gosselin, S Vaton 2021 29th European Signal Processing Conference (EUSIPCO), 1476-1480, 2021 | 1 | 2021 |
| Generalized Stochastic Backpropagation A Echraibi, J Cholet, S Gosselin, S Vaton Neural Information Processing 2020 Beyond Backprop workshop, 2020 | 1 | 2020 |
| Bayesian Mixture Models For Semi-Supervised Clustering A Echraibi, J Flocon-Cholet, S Gosselin, S Vaton | 1 | 2019 |
| Classification of unknown faults in an electronic-communication system A Echraibi, J Flocon-cholet, S Gosselin US Patent App. 17/697,472, 2022 | | 2022 |
| Probabilistic graphical models: theory and applications to network diagnosis A Echraibi Ecole nationale supérieure Mines-Télécom Atlantique, 2021 | | 2021 |
Sandrine VATONIMT AtlantiqueZweryfikowany adres z imt-atlantique.fr
