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graph neural networks). Finally, as initiated in [4], a stronger adversary model can also be defined and studied whereby the active adversary who wishes to harm the model is aware of the underlying
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Home EMA The European Magnetism Association Executive Board General Council Documents Membership EMA news Communication Social Networks Mailing Event Dissemination Rules All news EMA editorials
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on mobility, energy, environment, and citizen-centric digital services, acting as a Smart City Hub within the local network. How will you contribute? We are seeking a Business Engineer acting both at Luxembourg
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the ability of neural networks to learn unknown posterior distributions distributions. Their use in the field of image microscopy, however, remains limited. The purpose of this PhD thesis is to develop
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a breakthrough concept to upgrade existing fiber optic networks to acoustic sensor arrays, becoming a key component for managing smart cities. Except for a few applications, DAS data are typically
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. Communication efficient learning of deep networks from decentralized data. In Artificial Intelligence and Statistics, PMLR, 2017. [4] Rieke, N., Hancox, J., Li, W. et al. The future of digital health with
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streams. We work closely with a network of collaborators and public health agencies in France and abroad. A few studies illustrating our approach and the diversity of the questions we investigate: Using
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familiar with. Indeed, one option is to develop hybrid architectures on the model of PointSIFT [Jiang, 2018] in which the first layers of the network are “freezed” on handmade keypoints, corresponding
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detection, to cite a few. As telecom fibers are ubiquitous in urban environments, DAS appears as a breakthrough concept to upgrade existing fiber optic networks to acoustic sensor arrays, and a key component
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the first Réseau de Compétences Maladies Neurodégénératives/ParkinsonNet (RdC-MN) funded by by the Ministry of Health and Social Security. The “Programme for Dementia Prevention ” (pdp) is a first nation-wide