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Daniel HAIDER – Neural Networks from the Viewpoint of Frame Theory and the Injectivity of ReLU-layers

Centrale Nantes, LS2N, salle du conseil

le 16/03/2023 à 14hà Centrale Nantes, LS2N, salle du conseil. Daniel Haider est un étudiant-chercheur, Acoustics Research Institute (ARI) de l’Académie autrichienne des sciences, invité dans l’équipe SIMS de mars à juin 2023. Title:Neural Networks from the Viewpoint of Frame Theory and the Injectivity of ReLU-layers Abstract:In our work, we foster a frame-theoretical approach to […]

Arnaud POINAS – Distribution des zéros du spectrogramme de signaux bruités

Centrale Nantes, LS2N, salle S-018

le jeudi 20/04/2023 à 14h à Centrale Nantes, LS2N, salle S-018 Arnaud Poinas est Maître de conférences au Département de Mathématiques de l’Université de Poitiers. Titre : Distribution des zéros du spectrogramme de signaux bruités Résumé : De récents travaux en traitement du signal se sont intéressés à l’étude de la répartition des zéros du […]

Raphaël BOURGADE – Deep learning for detecting BRCA 1/2 mutations in high-grade ovarian cancer based on an innovative tumor segmentation method from whole-slide-images

Centrale Nantes, LS2N, salle du conseil

le 23/03/2023 à 14hCentrale Nantes, LS2N, salle du conseil. Raphaël Bourgade viendra nous donner un séminaire et sera accompagné de Delphine LOUSSOUARN, médecin pathologiste au CHU en charge du projet de pathologie numérique.Ils nous présenteront le service d’anatomopathologie et leurs activités de recherche en pathologie computationnelle. Title: Deep learning for detecting BRCA 1/2 mutations in […]

Pierre-Amaury GRUMIAUX – Bandwidth extension of musical signals with differentiable digital signal processing

Centrale Nantes, LS2N, salle S-018

Audio bandwidth extension (BWE) is a subtask of audio enhancement, whose goal is to extend the audio spectrum to higher frequencies, based on the low-band content of the input signal. Applications include old music restoration or blind audio coding, and many audio signal processing methods, focusing on relatively low sampling rate, could benefit from such […]

Audrey REPETTI

Nils FOIX-COLONIER – Deep learning-based compression and despeckling of SAR images

Abstract: The usefulness of spaceborne synthetic aperture radar (SAR) systems, with its wide range of valuable applications, is well established. It can be used anytime and under any weather to monitor forest evolution, to secure maritime areas, to measure geophysical parameters remotely, etc. This is why data downlink and its interpretability are key issues. The […]

Gwen SAMAIN : PhD defense – Branch-and-bound algorithm for efficient resolution of sparse optimization problems.

Centrale Nantes, Amphi E

Abstract: Numerous inverse problems in signal processing, statistics, biomedical imaging, astronomy and machine learning can be cast as the search for the best pattern combination fitting measurements, these patterns being taken from a known dictionary. The sparsity of the problem comes from the small number of patterns desired, using a l0 term. Several standard methods, […]