Ricky Tian Qi Chen
Ricky Tian Qi Chen
Verified email at cs.toronto.edu - Homepage
TitleCited byYear
Neural Ordinary Differential Equations
RTQ Chen, Y Rubanova, J Bettencourt, D Duvenaud
NIPS 2018, 2018
2362018
Isolating Sources of Disentanglement in Variational Autoencoders
RTQ Chen, X Li, R Grosse, D Duvenaud
NIPS 2018, 2018
1372018
Fast patch-based style transfer of arbitrary style
RTQ Chen, M Schmidt
Constructive Machine Learning Workshop, NIPS 2016, 2016
1142016
FFJORD: Free-form continuous dynamics for scalable reversible generative models
W Grathwohl, RTQ Chen, J Betterncourt, I Sutskever, D Duvenaud
arXiv preprint arXiv:1810.01367, 2018
832018
Invertible residual networks
J Behrmann, W Grathwohl, RTQ Chen, D Duvenaud, JH Jacobsen
arXiv preprint arXiv:1811.00995, 2018
372018
Scalable reversible generative models with free-form continuous dynamics
W Grathwohl, RT Chen, J Bettencourt, D Duvenaud
Proceedings of the International Conference on Learning Representations, New …, 2019
52019
Latent ODEs for irregularly-sampled time series
Y Rubanova, RTQ Chen, D Duvenaud
arXiv preprint arXiv:1907.03907, 2019
12019
Residual Flows for Invertible Generative Modeling
RTQ Chen, J Behrmann, D Duvenaud, JH Jacobsen
arXiv preprint arXiv:1906.02735, 2019
12019
Neural networks with cheap differential operators
RTQ Chen, D Duvenaud
2019 ICML Workshop on Invertible Neural Nets and Normalizing Flows (INNF), 2019
12019
Learning Motion Predictors for Smart Wheelchair using Autoregressive Sparse Gaussian Process
Z Fan, L Meng, RTQ Chen, J Li, IM Mitchell
ICRA 2018, 2017
12017
Deep kernel mean embeddings for generative modeling and feedforward style transfer
RTQ Chen
University of British Columbia, 2017
2017
Residual Flows: Unbiased Generative Modeling with Norm-Learned i-ResNets
RTQ Chen, J Behrmann, JH Jacobsen
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series
Y Rubanova, RTQ Chen, D Duvenaud
Isolating Sources of Disentanglement in VAEs
RTQ Chen, X Li, R Grosse, D Duvenaud
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Articles 1–14