Florian Angulo, Slim Essid, Geoffroy Peeters, Christophe Mietlicki. Cosmopolite Sound Monitoring (CoSMo): A Study of Urban Sound Event Detection Systems Generalizing to Multiple Cities. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2023, Rhodes Island, Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10095833⟩. ⟨hal-04093374⟩

Changhong Wang, Vincent Lostanlen, Mathieu Lagrange. Explainable Audio Classification of Playing Techniques with Layer-wise Relevance Propagation. 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Jun 2023, Lalyssos, Greece. ⟨hal-04029145⟩

Félix Mathieu, Thomas Courtat, Gael Richard, Geoffroy Peeters. LEARNING INTERPRETABLE FILTERS IN WAV-UNET FOR SPEECH ENHANCEMENT. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Jun 2023, Rhodes, Greece. ⟨hal-04048829⟩

Salah Zaiem, Robin Algayres, Titouan Parcollet, Slim Essid, Mirco Ravanelli. Fine-tuning strategies for faster inference using speech self-supervised models: a comparative study. ICASSP 2023 - International Conference on Acoustics, Speech, and Signal Processing, Jun 2023, Rhodes, Greece. ⟨hal-04076307⟩

Olivier Fercoq. Quadratic error bound of the smoothed gap and the restarted averaged primal-dual hybrid gradient. 2023. ⟨hal-03228252v3⟩

Rémi Leluc. Monte Carlo Methods and Stochastic Approximation : Theory and Applications to Machine Learning. Machine Learning [stat.ML]. Institut Polytechnique de Paris, 2023. English. ⟨NNT : 2023IPPAT007⟩. ⟨tel-04059775⟩

Vincent Brault, Emilie Devijver, Charlotte Laclau. Mixture of segmentation for heterogeneous functional data. 2023. ⟨hal-04036482⟩

Kilian Schulze-Forster, Gaël Richard, Liam Kelley, Clement Doire, Roland Badeau. Unsupervised Music Source Separation Using Differentiable Parametric Source Models. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2023, 31, pp.1276-1289. ⟨10.1109/TASLP.2023.3252272⟩. ⟨hal-04038023⟩

Anass Aghbalou, François Portier, Anne Sabourin, Chen Zhou. Tail Inverse Regression: dimension reduction for prediction of extremes. 2023. ⟨hal-04032206⟩

Tamim El Ahmad, Luc Brogat-Motte, Pierre Laforgue, Florence d'Alché-Buc. Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels. 2023. ⟨hal-04001898⟩