Imagerie médicale Computer graphics EEG Compression Representation learning Neural networks Computer Graphics Denoising Hidden Markov models Transformers Deep learning Detection Convex optimization Machine Learning Stochastic approximation Variational methods Natural language processing Filtering Inverse problem Apprentissage profond Room impulse response Bipartite ranking Transfer learning SAR Blind source separation Medical imaging Brain imaging Réseaux de neurones Audio source separation Data augmentation Character recognition Feature learning Feature extraction Self-supervised learning Ranking Bootstrap Multivariate extremes Source separation Remote sensing Empirical risk minimization Training Visualization Speckle Retina imaging Reverberation Computer vision Apprentissage statistique Optimal transport Convolutional neural networks Music information retrieval Adaptation models Convolution Informed source separation Artificial intelligence HEVC Affective computing Variational inference Image segmentation Super-resolution Polarimetry Statistical learning Classification Inverse problems Diffusion MRI Segmentation Feature selection Optimization AVC Apprentissage automatique Explainability Regularization Change detection Détection d'anomalies Signal processing Nonnegative matrix factorisation Despeckling Room acoustics Interpretability Anomaly detection Clustering Speech enhancement Nonnegative matrix factorization Patches Task analysis Video coding Time-frequency analysis Image restoration Estimation Machine learning Non-negative matrix factorization Wavelet analysis ESPRIT Image processing Texture synthesis Video compression Computational modeling Débruitage Deep Learning Mathematical morphology