Ricky Tian Qi Chen
Ricky Tian Qi Chen
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Neural Ordinary Differential Equations
RTQ Chen, Y Rubanova, J Bettencourt, D Duvenaud
NIPS 2018, 2018
5652018
Isolating Sources of Disentanglement in Variational Autoencoders
RTQ Chen, X Li, R Grosse, D Duvenaud
NIPS 2018, 2018
2652018
FFJORD: Free-form continuous dynamics for scalable reversible generative models
W Grathwohl, RTQ Chen, J Betterncourt, I Sutskever, D Duvenaud
ICLR 2019, 2018
1802018
Fast patch-based style transfer of arbitrary style
RTQ Chen, M Schmidt
Constructive Machine Learning Workshop, NIPS 2016, 2016
1512016
Invertible residual networks
J Behrmann, W Grathwohl, RTQ Chen, D Duvenaud, JH Jacobsen
arXiv preprint arXiv:1811.00995, 2018
1062018
Latent ODEs for irregularly-sampled time series
Y Rubanova, RTQ Chen, D Duvenaud
arXiv preprint arXiv:1907.03907, 2019
48*2019
Residual flows for invertible generative modeling
RTQ Chen, J Behrmann, DK Duvenaud, JH Jacobsen
Advances in Neural Information Processing Systems, 9913-9923, 2019
402019
Scalable reversible generative models with free-form continuous dynamics
W Grathwohl, RTQ Chen, J Bettencourt, D Duvenaud
International Conference on Learning Representations, 2019
182019
Scalable gradients for stochastic differential equations
X Li, TKL Wong, RTQ Chen, D Duvenaud
arXiv preprint arXiv:2001.01328, 2020
112020
Neural networks with cheap differential operators
RTQ Chen, D Duvenaud
Advances in Neural Information Processing Systems, 9961-9971, 2019
52019
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models
Y Luo, A Beatson, M Norouzi, J Zhu, D Duvenaud, RP Adams, RTQ Chen
arXiv preprint arXiv:2004.00353, 2020
22020
Scalable Gradients and Variational Inference for Stochastic Differential Equations
X Li, TKL Wong, RTQ Chen, DK Duvenaud
Symposium on Advances in Approximate Bayesian Inference, 1-28, 2020
12020
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
ISOLATING SOURCES OF DISENTANGLEMENT
TQ Chen, X Li, R Grosse, D Duvenaud
Residual Flows: Unbiased Generative Modeling with Norm-Learned i-ResNets
RTQ Chen, J Behrmann, JH Jacobsen
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Articles 1–16