Tian Qi Chen

12 papers A* 6Journal 4Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	—	`—`	Generative Modeling with Differentiable Dynamics Tian Qi Chen
2019	A*	`conf`	Latent Ordinary Differential Equations for Irregularly-Sampled Time Series. NeurIPS Yulia Rubanova, Tian Qi Chen, David Duvenaud
2019	A*	`conf`	Neural Networks with Cheap Differential Operators. NeurIPS Tian Qi Chen, David Duvenaud
2019	A*	`conf`	Residual Flows for Invertible Generative Modeling. NeurIPS Tian Qi Chen, Jens Behrmann, David Duvenaud, Jörn-Henrik Jacobsen
2018	—	`conf`	Isolating Sources of Disentanglement in Variational Autoencoders. ICLR (Workshop) Tian Qi Chen, Xuechen Li, Roger B. Grosse, David Duvenaud
2018	A*	`conf`	Isolating Sources of Disentanglement in Variational Autoencoders. NeurIPS Tian Qi Chen, Xuechen Li, Roger B. Grosse, David Duvenaud
2018	J	`jnl`	Isolating Sources of Disentanglement in Variational Autoencoders. CoRR Tian Qi Chen, Xuechen Li, Roger B. Grosse, David Duvenaud
2018	A*	`conf`	Learning Motion Predictors for Smart Wheelchair Using Autoregressive Sparse Gaussian Process. ICRA Zicong Fan, Lili Meng, Tian Qi Chen, Jingchun Li, Ian M. Mitchell
2018	A*	`conf`	Neural Ordinary Differential Equations. NeurIPS Tian Qi Chen, Yulia Rubanova, Jesse Bettencourt, David Duvenaud
2018	J	`jnl`	Neural Ordinary Differential Equations. CoRR Tian Qi Chen, Yulia Rubanova, Jesse Bettencourt, David Duvenaud
2017	J	`jnl`	Learning Motion Predictors for Smart Wheelchair using Autoregressive Sparse Gaussian Process. CoRR Zicong Fan, Lili Meng, Tian Qi Chen, Jingchun Li, Ian M. Mitchell
2016	J	`jnl`	Fast Patch-based Style Transfer of Arbitrary Style. CoRR Tian Qi Chen, Mark Schmidt