1 code implementation • bioRxiv 2023 • Ondřej Cífka, Simon Chamaillé-Jammes, Antoine Liutkus
In this work, we propose MoveFormer, a new step-based model of movement capable of learning directly from full animal trajectories.
1 code implementation • 30 Dec 2022 • Ondřej Cífka, Antoine Liutkus
The increasingly widespread adoption of large language models has highlighted the need for improving their explainability.
1 code implementation • 18 May 2021 • Antoine Liutkus, Ondřej Cífka, Shih-Lun Wu, Umut Şimşekli, Yi-Hsuan Yang, Gaël Richard
Recent advances in Transformer models allow for unprecedented sequence lengths, due to linear space and time complexity.
1 code implementation • The Journal of Open Source Software 2019 • Fabian-Robert Stöter, Stefan Uhlich, Antoine Liutkus, and YukiMitsufuji
Music source separation is the task of decomposing music into its constitutive components, e. g., yielding separated stems for the vocals, bass, and drums.
Ranked #15 on Music Source Separation on MUSDB18 (using extra training data)
no code implementations • 10 May 2019 • Giuseppe Amato, Malte Behrmann, Frédéric Bimbot, Baptiste Caramiaux, Fabrizio Falchi, Ander Garcia, Joost Geurts, Jaume Gibert, Guillaume Gravier, Hadmut Holken, Hartmut Koenitz, Sylvain Lefebvre, Antoine Liutkus, Fabien Lotte, Andrew Perkis, Rafael Redondo, Enrico Turrin, Thierry Vieville, Emmanuel Vincent
Thanks to the Big Data revolution and increasing computing capacities, Artificial Intelligence (AI) has made an impressive revival over the past few years and is now omnipresent in both research and industry.
no code implementations • 8 Feb 2019 • Simon Leglaive, Umut Simsekli, Antoine Liutkus, Laurent Girin, Radu Horaud
This paper focuses on single-channel semi-supervised speech enhancement.
1 code implementation • 21 Jun 2018 • Antoine Liutkus, Umut Şimşekli, Szymon Majewski, Alain Durmus, Fabian-Robert Stöter
To the best of our knowledge, the proposed algorithm is the first nonparametric IGM algorithm with explicit theoretical guarantees.
no code implementations • 23 Apr 2018 • Zafar Rafii, Antoine Liutkus, Fabian-Robert Stöter, Stylianos Ioannis Mimilakis, Derry FitzGerald, Bryan Pardo
For model-based methods, we organize them according to whether they concentrate on the lead signal, the accompaniment, or both.
Sound Audio and Speech Processing
no code implementations • 17 Apr 2018 • Fabian-Robert Stöter, Antoine Liutkus, Nobutaka Ito
This paper reports the organization and results for the 2018 community-based Signal Separation Evaluation Campaign (SiSEC 2018).
1 code implementation • 13 Nov 2017 • Nicolas Keriven, Antoine Deleforge, Antoine Liutkus
We propose a new blind source separation algorithm based on mixtures of alpha-stable distributions.