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researcher / Rémi Gribonval

Rémi Gribonval

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Disciplines:

Applied mathematics

Computer sciences

Signal and image processing

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Thesis:

Approximations non-linéaires pour l'analyse des signaux sonores

Directed Thesis:

Efficiency and Redundancy in Deep Learning Models : Theoretical Considerations and Practical Applications

Learning compact representations for large scale image search

Apprentissage de modèles de mélange à large échelle par Sketching

Cosparse regularization of physics-driven inverse problems

Compressed sensing and dimensionality reduction for unsupervised learning

Fonctions de coût pour l'estimation des filtres acoustiques dans les mélanges réverbérants

Sparse models and convex optimisation for convolutive blind source separation