Emilien Dupont

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Deep Learning, Generative Models

Hello! I’m a PhD student supervised by Yee Whye Teh and Arnaud Doucet, and a Deepmind Scholar. My research interests are mainly in representation learning and generative models, but I am interested in machine learning in general.

Before starting my PhD, I worked as a machine learning scientist in Silicon Valley for two years. I studied computational maths at Stanford University and theoretical physics at Imperial College.

Outside of machine learning, I also enjoy making visualizations of algorithms and concepts in maths.

Publications

2019

• E. Dupont , A. Doucet , Y. W. Teh , Augmented Neural ODEs, in Advances in Neural Information Processing Systems 32, H. Wallach, H. Larochelle, A. Beygelzimer, F. d’ Alché-Buc, E. Fox, and R. Garnett, Eds. Curran Associates, Inc., 2019, 3134–3144.
  
  @incollection{NIPS2019_8577,
    title = {Augmented Neural ODEs},
    author = {Dupont, Emilien and Doucet, Arnaud and Teh, Yee Whye},
    booktitle = {Advances in Neural Information Processing Systems 32},
    editor = {Wallach, H. and Larochelle, H. and Beygelzimer, A. and d\textquotesingle Alch\'{e}-Buc, F. and Fox, E. and Garnett, R.},
    pages = {3134--3144},
    year = {2019},
    month = dec,
    publisher = {Curran Associates, Inc.}
  }
  

2018

• E. Dupont , S. Suresha , Probabilistic Semantic Inpainting with Pixel Constrained CNNs, arXiv preprint arXiv:1810.03728, 2018.
  

  @article{dupont2018probabilistic,
    title = {Probabilistic Semantic Inpainting with Pixel Constrained CNNs},
    author = {Dupont, Emilien and Suresha, Suhas},
    journal = {arXiv preprint arXiv:1810.03728},
    year = {2018}
  }
  

• E. Dupont , Learning Disentangled Joint Continuous and Discrete Representations, in Advances in Neural Information Processing Systems, 2018.
  
  @inproceedings{dupont2018learning,
    title = {Learning Disentangled Joint Continuous and Discrete Representations},
    author = {Dupont, Emilien},
    booktitle = {Advances in Neural Information Processing Systems},
    year = {2018}
  }
  

• E. Dupont , T. Zhang , P. Tilke , L. Liang , W. Bailey , Generating Realistic Geology Conditioned on Physical Measurements with Generative Adversarial Networks, ICML TADGM Workshop, 2018.
  
  @article{dupont2018generating,
    title = {Generating Realistic Geology Conditioned on Physical Measurements with Generative Adversarial Networks},
    author = {Dupont, Emilien and Zhang, Tuanfeng and Tilke, Peter and Liang, Lin and Bailey, William},
    journal = {ICML TADGM Workshop},
    year = {2018}
  }