Diederik P. Kingma

Diederik Kingma is a senior researcher and machine learning scientist working on deep generative models and variational inference. He is known for foundational work on Variational Autoencoders (VAEs) and has contributed to normalizing flows, diffusion models, and other probabilistic generative approaches.

Sources in this wiki

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

Topics

• Generative Models, Variational Inference, Deep learning

Notes

Co-author of the VAE paper, one of the most influential works in modern deep learning. Kingma's research bridges classical probabilistic modeling with modern neural network architectures.