Joost van Amersfoort

Joost van Amersfoort

Machine Learning, Variational Inference, Uncertainty Estimation

Joost is a DPhil student supervised by Yee Whye Teh and Yarin Gal. He is interested in uncertainty estimation, representation learning, variational inference, and its applications to for example active learning. Previously, he spent two years as a Research Engineer at Twitter’s machine learning team Cortex as part of the team that came out of the Magic Pony acquisition. He obtained his MSc. at the University of Amsterdam, working with Max Welling and Diederik Kingma. He is an Oxford-Google DeepMind scholar.



  • J. Amersfoort , L. Smith , Y. W. Teh , Y. Gal , Uncertainty Estimation Using a Single Deep Deterministic Neural Network, International Conference on Machine Learning, 2020.


  • A. Kirsch , J. Amersfoort , Y. Gal , BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning, Advances in Neural Information Processing Systems, 2019.