Babak Esmaeili

PhD candidate (advised by J.W. van de Meent)
AMLab
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 deep generative models and how we can guide them towards learning representations that are useful for downstream tasks.


Selected Publications

  1. 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
  2. ICML
    Conjugate Energy-Based Models
    Wu*, Hao, Esmaeili*, Babak, Wick, Michael, Tristan, Jean-Baptiste, and Van De Meent, Jan-Willem
    In Proceedings of the 38th International Conference on Machine Learning 18–24 jul 2021
  3. AISTATS
    Rate-Regularization and Generalization in Variational Autoencoders
    Bozkurt*, Alican, Esmaeili*, Babak, Tristan, Jean-Baptiste, Brooks, Dana, Dy, Jennifer, and Meent, Jan-Willem van de
    In Proceedings of The 24th International Conference on Artificial Intelligence and Statistics Mar 2021
  4. AISTATS
    Structured Disentangled Representations
    Esmaeili, Babak, Wu, Hao, Jain, Sarthak, Bozkurt, Alican, Siddharth, N., Paige, Brooks, Brooks, Dana H., Dy, Jennifer, and Meent, Jan-Willem
    In The 22nd International Conference on Artificial Intelligence and Statistics Apr 2019
  5. AISTATS
    Structured Neural Topic Models for Reviews
    Esmaeili, Babak, Huang, Hongyi, Wallace, Byron, and Meent, Jan-Willem van de
    In Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics Apr 2019