Theory Meets Practice Workshop 2020
Description: Nathanaël Perraudin Ph.D. is a Senior Data Scientist at the Swiss Data Science Center, an institute part of EPFL and ETHZ in Switzerland. He works on different domains of data science with a particular focus on deep learning and generative models.
machine learning (3887) deep learning (1274) optimization (877) graph (276) signal processing (93) artificial inteligence (28) convex optimization (4) graph signal processing (2) spectral graph theory (1) audio inpaiting (1)
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I am a Machine Learning Research Scientist at the Swiss Data Science Center (SDSC), an institute part of EPFL and ETHZ in Switzerland. My research focus on the introduction of domain knowledge in deep learning methods. In particular, I work with graph neural networks, inverse problems and generative models.
Theory Meets Practice Workshop 2020