• 
  Morgan Buisson, Brian Mcfee, Slim Essid. Using Pairwise Link Prediction and Graph Attention Networks for Music Structure Analysis. 25th International Society for Music Information Retrieval (ISMIR) (2024), Nov 2024, San Francisco (CA), United States. ⟨hal-04665063⟩
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  Teysir Baoueb, Xiaoyu Bie, Hicham Janati, Gael Richard. WaveTransfer: A Flexible End-to-end Multi-instrument Timbre Transfer with Diffusion. 2024 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2024), Sep 2024, London (UK), United Kingdom. ⟨hal-04685184⟩
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  Richard Serrano, Charlotte Laclau, Baptiste Jeudy, Christine Largeron. Reconstructing the Unseen: GRIOT for Attributed Graph Imputation with Optimal Transport. ECML PKDD 2024, Sep 2024, Vilnius, Lithuania. pp.269-286, ⟨10.1007/978-3-031-70365-2_16⟩. ⟨hal-04604650v1⟩
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  Liam Kelley, Diego Di Carlo, Aditya Arie Nugraha, Mathieu Fontaine, Yoshiaki Bando, et al.. RIR-in-a-Box: Estimating Room Acoustics from 3D Mesh Data through Shoebox Approximation. INTERSPEECH, Sep 2024, Kos International Convention Center, Kos Island, Greece. ⟨hal-04632526⟩
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  Martin Lebourdais, Théo Mariotte, Antonio Almudévar, Marie Tahon, Alfonso Ortega. Explainable by-design Audio Segmentation through Non-Negative Matrix Factorization and Probing. Interspeech 2024, International Speech Communication Association (ISCA), Sep 2024, Kos / Greece, France. ⟨hal-04617131⟩
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  Louis Bahrman, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard. Speech dereverberation constrained on room impulse response characteristics. INTERSPEECH, Sep 2024, Kos Island, Greece. ⟨hal-04640068⟩
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  Anton Emelchenkov, Mathieu Fontaine, Yves Grenier, Hervé Mahé, François Roueff. Multifrequency Highly Oscillating Aperiodic Amplitude Estimation for Nonlinear Chirp Signal. European Signal Processing Conference (EUSIPCO), Aug 2024, Lyon, France. ⟨hal-04614241⟩
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  David Perera, Slim Essid, Richard Gaël. Invariance-based layer regularization for sound event detection. European Signal Processing Conference, Aug 2024, Lyon, France. ⟨hal-04645968⟩
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  Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, et al.. Winner-takes-all learners are geometry-aware conditional density estimators. International Conference on Machine Learning, Jul 2024, Vienne (Autriche), Austria. ⟨hal-04574640⟩
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  Tamim El Ahmad. Learning deep kernel networks : application to efficient and robust structured prediction. Computer Science [cs]. Institut Polytechnique de Paris, 2024. English. ⟨NNT : 2024IPPAT024⟩. ⟨tel-04659577⟩

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