Research

  • Neural Networks with Cheap Differential Operators (SPOTLIGHT) Ricky T. Q. Chen, David Duvenaud Advances in Neural Information Processing Systems (NeurIPS). 2019 <polishing in progress>
  • Residual Flows for Invertible Generative Modeling (SPOTLIGHT) Ricky T. Q. Chen, Jens Behrmann, David Duvenaud, Jörn-Henrik Jacobsen Advances in Neural Information Processing Systems (NeurIPS). 2019 arxiv | bibtex | slides | poster | code
  • Latent ODEs for Irregularly-Sampled Time Series Yulia Rubanova, Ricky T. Q. Chen, David Duvenaud Advances in Neural Information Processing Systems (NeurIPS). 2019 arxiv | code
  • Invertible Residual Networks (LONG ORAL) Jens Behrmann*, Will Grathwohl*, Ricky T. Q. Chen, David Duvenaud, Jörn-Henrik Jacobsen* International Conference on Machine Learning (ICML). 2019 arxiv | bibtex | code
  • FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models (ORAL)
    (BEST STUDENT PAPER @ AABI 2018)
    Will Grathwohl*, Ricky T. Q. Chen*, Jesse Bettencourt, Ilya Sutskever, David Duvenaud International Conference on Learning Representations (ICLR). 2019 arxiv | bibtex | poster | code
  • Neural Ordinary Differential Equations (BEST PAPER AWARD) Ricky T. Q. Chen*, Yulia Rubanova*, Jesse Bettencourt*, David Duvenaud Advances in Neural Information Processing Systems (NeurIPS). 2018 arxiv | bibtex | slides | poster | code
  • Isolating Sources of Disentanglement in Variational Autoencoders (ORAL) Ricky T. Q. Chen, Xuechen Li, Roger Grosse, David Duvenaud Advances in Neural Information Processing Systems (NeurIPS). 2018 arxiv | bibtex | slides | poster | code
  • Fast Patch-based Style Transfer of Arbitrary Style (ORAL) Tian Qi Chen, Mark Schmidt Workshop in Constructive Machine Learning, NIPS. 2016 arxiv | bibtex | slides | poster | code
* denotes equal contribution.