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4 Nov 2025 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Computer Engineering Research Field Mathematics » Algorithms Researcher Profile First Stage
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The detection of out-of-distribution (OoD) samples is crucial for deploying deep learning (DL) models in real-world scenarios. OoD samples pose a challenge to DL models as they are not represented
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | about 2 months ago
according to established rules, the second approach can pave the way to a respective verification service provided by European NMIs. Reference data generation and robust point cloud partitioning algorithms
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between two textures to improve the quality control? The first objective is to assess the Just Noticeable Difference for non-uniform patches starting from color Gaussian distributions. The second one is to
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suitable data models [CSC+23]. Objectives As far as the design of efficient numerical algorithms in an off-the-grid setting is concerned, the problem is challenging, since the optimization is defined in
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, the post-doctoral fellow will consider designing distributed learning algorithms for streaming manifold-valued data. Experiments will be carried out on urban, coastal, and underwater DAS data. The novelty
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. Processing this response provides estimates of the local variations in acoustic pressure along the fiber, over distances ranging from 40km up to 140km with some systems. This technique, called Distributed
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 1 month ago
Conference on High Performance Computing, Data, and Analytics (HiPC 2017). https://legion.stanford.edu/pdfs/hipc2017.pdf Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence. Michael
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? • comment se comportent-elles face à des données hétérogènes (par exemple, personnalisées ou dont les distributions statistiques ne sont pas identiques dans tous les ensembles de données), ce qui est fréquent
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 1 month ago
follows a phased algorithm: 1) generate an initial training set by uniformly sampling input points 2) (re)train the model on the trainng set 3) use feedback from the model’s performance to generate/augment