Xuechen Li
Title
Cited by
Cited by
Year
Isolating sources of disentanglement in variational autoencoders
RTQ Chen, X Li, RB Grosse, DK Duvenaud
Advances in Neural Information Processing Systems, 2610-2620, 2018
3582018
Inference Suboptimality in Variational Autoencoders
C Cremer, X Li, D Duvenaud
International Conference on Machine Learning, 2018
1112018
Scalable gradients for stochastic differential equations
X Li, TKL Wong, RTQ Chen, D Duvenaud
International Conference on Artificial Intelligence and Statistics, 2020
262020
Stochastic runge-kutta accelerates langevin monte carlo and beyond
X Li, Y Wu, L Mackey, MA Erdogdu
Advances in Neural Information Processing Systems, 7748-7760, 2019
182019
When Does Preconditioning Help or Hurt Generalization?
S Amari, J Ba, R Grosse, X Li, A Nitanda, T Suzuki, D Wu, J Xu
arXiv preprint arXiv:2006.10732, 2020
2020
The idemetric property: when most distances are (almost) the same
G Barmpalias, N Huang, A Lewis-Pye, A Li, X Li, Y Pan, T Roughgarden
Proceedings of the Royal Society A, 2019
2019
Isolating Sources of Disentanglement in VAEs
RTQ Chen, X Li, R Grosse, D Duvenaud
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