Heiko Zimmermann

PhD candidate (advised by J.W. van de Meent)
Informatics Institute
University of Amsterdam
Science Park, Lab 42, L4.22


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I am a PhD student at the Amsterdam Machine Learning Lab (AMLab) supervised by Jan-Willem van de Meent. Before September 2021, I was a PhD student at the Khoury College of Computer Science.

I am interested in probabilistic modeling and approximate inference and ways to automate these tasks using probabilistic programming systems.

Selected Publications

  1. TMLR
    A Variational Perspective on Generative Flow Networks
    Zimmermann, Heiko, Lindsten, Fredrik, Meent, Jan-Willem, and Naesseth, Christian A
    Transactions on Machine Learning Research Apr 2023
  2. NeurIPS
    Nested Variational Inference
    Zimmermann, Heiko, Wu, Hao, Esmaeili, Babak, and Meent, Jan-Willem
    In 35th Conference on Neural Information Processing Systems (NeurIPS) Dec 2021
  3. UAI
    Learning Proposals for Probabilistic Programs with Inference Combinators
    Zimmermann, Heiko, Stites, Sam, Wu, Hao, Sennesh, Eli, and Meent, Jan-Willem
    In 37th Conference on Uncertainty in Artificial Intelligence (UAI) Jul 2021
  4. ICML
    Amortized Population Gibbs Samplers with Neural Sufficient Statistics
    Wu, Hao, Zimmermann, Heiko, Sennesh, Eli, Le, Tuan Anh, and Meent, Jan-Willem
    In Proceeding of the International Conference on Machine Learning (ICML) Jul 2020