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Bio
After finishing his Master in electrical engineering at the Ecole Fédérale de Lausanne (EPFL), Nathanaël Perraudin worked as a researcher in the Acoustic Research Institute (ARI) in Vienna. In 2013, he came back to EPFL for a PhD. He specialized himself in different fields of signal processing, graph theory, machine learning, data science and audio processing. He graduated in 2017 and since then has been working as a senior data scientist at the Swiss Data Science Center (SDSC), where he focuses on deep neural networks and generative models.
Research Interests
Papers共 61 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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arxiv(2024)
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Applied Acoustics (2023): 109333-109333
Ultramicroscopy (2023): 113719-113719
Microscopy and Microanalysisno. S1 (2022): 2978-2979
CoRR (2022)
NeurIPS 2022 (2022)
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