| Differentiable adaptive short-time Fourier transform with respect to the window length M Leiber, Y Marnissi, A Barrau, M El Badaoui ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 17 | 2023 |
| A differentiable short-time Fourier transform with respect to the window length M Leiber, A Barrau, Y Marnissi, D Abboud 30th European Signal Processing Conference (EUSIPCO), 1392-1396, 2022 | 11 | 2022 |
| Differentiable short-time Fourier transform with respect to the hop length M Leiber, Y Marnissi, A Barrau, M El Badaoui 2023 IEEE Statistical Signal Processing Workshop (SSP), 230-234, 2023 | 5 | 2023 |
| Optimisation de la longueur de fenêtre du spectrogramme au sein d’un réseau de neurones M Leiber, A Barrau, Y Marnissi, D Abboud, M El Badaoui colloque GRETSI, 2022 | 3 | 2022 |
| Neural network-based symbolic regression for empirical modeling of the behavior of a planetary gearbox N Yousfi, K Abed-Meraim, Y Marnissi, M Leiber, M El-Badaoui ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation Y Marnissi, M Leiber Proceedings of the 41st International Conference on Machine Learning, 34866 …, 2024 | | 2024 |
| Method, device and computer program for estimating a speed of a wheeled vehicle D Abboud, A Barrau, M Leiber, Y Marnissi US Patent App. 18/281,137, 2024 | | 2024 |
| Adaptive time-frequency analysis and data normalization: contributions to monitoring under varying conditions M Leiber Ecole Normale Supérieure (ENS), 2024 | | 2024 |
| Eliminating External Factors with Variables Standardization for Monitoring Applications M Leiber, Y Marnissi, S Razakarivony, DQ Vu, M El Badaoui 2023 IEEE Conference on Artificial Intelligence (CAI), 232-233, 2023 | | 2023 |
| Differentiable Short-Time Fourier Transform: A Time-Frequency Layer with Learnable Parameters M Leiber, A Barrau ICML 2024 Workshop on Differentiable Almost Everything: Differentiable …, 0 | | |
| A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation M Leiber Forty-first International Conference on Machine Learning, 0 | | |
| Modeling and Estimation of Planetary Gearbox Systems Using Neural Network Based Symbolic Regression N Yousfi, K Abed-Meriam, Y Marnissi, M Leiber, M El Badaoui Available at SSRN 4832764, 0 | | |
| Élimination des conditions extérieures fondée sur la physique: normalisation adaptative de données pour la surveillance santé M Leiber, Y Marnissi, S Razakarivony, DQ Vu, D Hong, L Massoulié | | |
Axel BarrauResearch engineer, Safran - Associate researcher, Mines ParistechVerified email at safrangroup.com
