Maxime Leiber
According to our database1,
Maxime Leiber
authored at least 8 papers
between 2022 and 2025.
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Bibliography
2025
Learnable Adaptive Time-Frequency Representation via Differentiable Short-Time Fourier Transform.
CoRR, June, 2025
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).
PhD thesis, 2024
A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Neural Network-Based Symbolic Regression for Empirical Modeling of the Behavior of a Planetary Gearbox.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
Eliminating External Factors with Variables Standardization for Monitoring Applications.
Proceedings of the IEEE Conference on Artificial Intelligence, 2023
Differentiable Adaptive Short-Time Fourier Transform with Respect to the Window Length.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Proceedings of the 30th European Signal Processing Conference, 2022