Eric Nalisnick

Assistant professor
Informatics Institute
University of Amsterdam


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I am an assistant professor (universitair docent) at the University of Amsterdam. My research interests span statistical machine learning and probabilistic modeling, with an emphasis on human-in-the-loop learning, specifying prior knowledge, detecting distribution shift, and quantifying uncertainty in deep learning. I previously was a postdoctoral researcher at the University of Cambridge and a PhD student at the University of California, Irvine. I have also held research positions at DeepMind, Microsoft, Twitter, and Amazon. I am an ELLIS scholar, and my research is supported by an NWO Veni fellowship.

Selected Publications

  1. Predictive Complexity Priors
    Nalisnick, Eric, Gordon, Jonathan, and Miguel Hernandez-Lobato, Jose
    In Proceedings of The 24th International Conference on Artificial Intelligence and Statistics 13–15 apr 2021
  2. Do Deep Generative Models Know What They Don’t Know?
    Nalisnick, Eric, Matsukawa, Akihiro, Teh, Yee Whye, Gorur, Dilan, and Lakshminarayanan, Balaji
    In International Conference on Learning Representations 13–15 apr 2019