Max Welling

Max Welling is a professor of machine learning at the University of Amsterdam and a leading researcher in probabilistic machine learning, generative models, and scalable inference. He has contributed to variational inference, graphical models, and deep generative approaches.

Sources in this wiki

• [[2013-kingma-variational-autoencoder]]

Topics

• Generative Models, Variational Inference, Probabilistic Graphical Models

Notes

Co-author of the VAE paper. Welling's broader research program emphasizes principled probabilistic approaches to machine learning and has influenced the development of scalable inference methods for deep probabilistic models.