I'm a PhD student at the University of Toronto, supervised by David Duvenaud. Previously, I had been a MSc student under Mark Schmidt, and an undergrad research assistant for Kevin Leyton-Brown.

Optimizing to generate quality research papers. Reward is sparse.

CV / Github / Google Scholar

• FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
  (BEST STUDENT PAPER @ AABI 2018) Will Grathwohl*, Ricky T. Q. Chen*, Jesse Bettencourt, Ilya Sutskever, David Duvenaud Preprint. 2018 arxiv | bibtex | code
• Neural Ordinary Differential Equations (BEST PAPER AWARD) Ricky T. Q. Chen*, Yulia Rubanova*, Jesse Bettencourt*, David Duvenaud Advances in Neural Information Processing Systems. 2018 arxiv | bibtex | 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. 2018 arxiv | bibtex | code
• Learning Motion Predictors for Smart Wheelchair using Autoregressive Sparse Gaussian Process Zicong Fan, Lili Meng, Tian Qi Chen, Jingchun Li, Ian M. Mitchell International Conference on Robotics and Automation. 2018 arxiv | bibtex
• Deep kernel mean embeddings for generative modeling and feedforward style transfer Tian Qi Chen MSc Thesis, University of British Columbia. 2017 pdf (18MB)
• Fast Patch-based Style Transfer of Arbitrary Style (ORAL) Tian Qi Chen, Mark Schmidt Workshop in Constructive Machine Learning, NIPS. 2016 arxiv | bibtex | code