A differentiable short-time Fourier transform with respect to the window length. - Maxime Leiber; Axel Barrau; Yosra Marnissi; Dany Abboud (EUSIPCO, 2022)

Differentiable Adaptive Short-Time Fourier Transform with Respect to the Window Length. - Maxime Leiber; Yosra Marnissi; Axel Barrau; Mohamed El Badaoui (ICASSP, 2023)

Differentiable short-time Fourier transform with respect to the hop length. - Maxime Leiber; Yosra Marnissi; Axel Barrau; Mohamed El Badaoui (SSP, 2023)

Neural Network-Based Symbolic Regression for Empirical Modeling of the Behavior of a Planetary Gearbox. - Nacer Yousfi; Karim Abed-Meraim; Yosra Marnissi; Maxime Leiber; Mohamed El Badaoui (ICASSP, 2024)

A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation. - Yosra Marnissi; Maxime Leiber (ICML, 2024)

Adaptive time-frequency analysis and data normalization: contributions to monitoring under varying conditions. (Analyse temps-fréquence adaptative et normalisation des données: contributions à la surveillance dans des conditions variables). - Maxime Leiber (2024)

Learnable Adaptive Time-Frequency Representation via Differentiable Short-Time Fourier Transform. - Maxime Leiber; Yosra Marnissi; Axel Barrau; Sylvain Meignen; Laurent Massoulié (CoRR, 2025)