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20132010s
Max Welling
Co-inventor of the variational autoencoder and of graph convolutional networks.
Organizations
University of AmsterdamQualcommMicrosoft Research
Major Achievements
- •Co-authored 'Auto-Encoding Variational Bayes' (2013) with Diederik Kingma, introducing the variational autoencoder.
- •Co-developed graph convolutional networks, extending deep learning to graph-structured data.
- •Contributed stochastic gradient Langevin dynamics, bridging Bayesian inference and deep learning.
- •Helped build European machine learning research through the Amsterdam group.
Key Papers
- Auto-Encoding Variational Bayes
Diederik P. Kingma, Max Welling · ICLR 2014 · 2013