Jiaxin Shi
Jiaxin Shi
Postdoctoral Researcher, Microsoft Research
Email verificata su microsoft.com - Home page
Citata da
Citata da
Functional variational Bayesian neural networks
S Sun, G Zhang, J Shi, R Grosse
ICLR, 2019
Plenopatch: Patch-based plenoptic image manipulation
FL Zhang, J Wang, E Shechtman, ZY Zhou, JX Shi, SM Hu
IEEE transactions on visualization and computer graphics 23 (5), 1561-1573, 2016
A spectral approach to gradient estimation for implicit distributions
J Shi, S Sun, J Zhu
International Conference on Machine Learning, 4644-4653, 2018
Zhusuan: A library for Bayesian deep learning
J Shi, J Chen, J Zhu, S Sun, Y Luo, Y Gu, Y Zhou
arXiv preprint arXiv:1709.05870, 2017
Kernel implicit variational inference
J Shi, S Sun, J Zhu
ICLR, 2017
Message passing Stein variational gradient descent
J Zhuo, C Liu, J Shi, J Zhu, N Chen, B Zhang
International Conference on Machine Learning, 6018-6027, 2018
Sliced score matching: A scalable approach to density and score estimation
Y Song, S Garg, J Shi, S Ermon
Uncertainty in Artificial Intelligence, 574-584, 2020
Sparse orthogonal variational inference for Gaussian processes
J Shi, M Titsias, A Mnih
International Conference on Artificial Intelligence and Statistics, 1932-1942, 2020
Scalable training of inference networks for Gaussian-process models
J Shi, ME Khan, J Zhu
International Conference on Machine Learning, 5758-5768, 2019
Semi-crowdsourced clustering with deep generative models
Y Luo, T Tian, J Shi, J Zhu, B Zhang
Advances in Neural Information Processing Systems, 3212-3222, 2018
Nonparametric Score Estimators
Y Zhou, J Shi, J Zhu
International Conference on Machine Learning, 2020
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–11