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.

Resume / Github / Google Scholar

• FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl*, Ricky T. Q. Chen*, Jesse Bettencourt, Ilya Sutskever, David Duvenaud Preprint. 2018
• Neural Ordinary Differential Equations (Oral) Ricky T. Q. Chen*, Yulia Rubanova*, Jesse Bettencourt*, David Duvenaud NIPS. 2018
• Isolating Souces of Disentanglement in Variational Autoencoders (Oral) Ricky T. Q. Chen, Xuechen Li, Roger Grosse, David Duvenaud NIPS. 2018
• Learning Motion Predictors for Smart Wheelchair using Autoregressive Sparse Gaussian Process Zicong Fan, Lili Meng, Tian Qi Chen, Jingchun Li, Ian M. Mitchell ICRA. 2018
• Deep kernel mean embeddings for generative modeling and feedforward style transfer Tian Qi Chen MSc Thesis, University of British Columbia. 2017
• Fast Patch-based Style Transfer of Arbitrary Style (Oral) Tian Qi Chen, Mark Schmidt Workshop in Constructive Machine Learning, NIPS. 2016