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Chen Changyou
Chen Changyou
Assistant Professor at University at Buffalo
Подтвержден адрес электронной почты в домене buffalo.edu - Главная страница
Название
Процитировано
Процитировано
Год
Preconditioned stochastic gradient Langevin dynamics for deep neural networks
C Li, C Chen, D Carlson, L Carin
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
3002016
Certified adversarial robustness with additive noise
B Li, C Chen, W Wang, L Carin
Advances in neural information processing systems 32, 2019
2612019
Alice: Towards understanding adversarial learning for joint distribution matching
C Li, H Liu, C Chen, Y Pu, L Chen, R Henao, L Carin
Advances in neural information processing systems 30, 2017
2492017
Bayesian sampling using stochastic gradient thermostats
N Ding, Y Fang, R Babbush, C Chen, RD Skeel, H Neven
Advances in neural information processing systems 27, 2014
2392014
Cyclical stochastic gradient MCMC for Bayesian deep learning
R Zhang, C Li, J Zhang, C Chen, AG Wilson
arXiv preprint arXiv:1902.03932, 2019
2042019
On the convergence of stochastic gradient MCMC algorithms with high-order integrators
C Chen, N Ding, L Carin
Advances in neural information processing systems 28, 2015
1762015
Zero-shot learning via class-conditioned deep generative models
W Wang, Y Pu, V Verma, K Fan, Y Zhang, C Chen, P Rai, L Carin
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
1542018
Pointcloud saliency maps
T Zheng, C Chen, J Yuan, B Li, K Ren
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1282019
Sequential latent Dirichlet allocation
L Du, W Buntine, H Jin, C Chen
Knowledge and information systems 31, 475-503, 2012
1212012
Learning structured weight uncertainty in bayesian neural networks
S Sun, C Chen, L Carin
Artificial Intelligence and Statistics, 1283-1292, 2017
1182017
Distributionally adversarial attack
T Zheng, C Chen, K Ren
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2253-2260, 2019
1162019
Topic-guided variational autoencoders for text generation
W Wang, Z Gan, H Xu, R Zhang, G Wang, D Shen, C Chen, L Carin
arXiv preprint arXiv:1903.07137, 2019
1132019
Scalable deep Poisson factor analysis for topic modeling
Z Gan, C Chen, R Henao, D Carlson, L Carin
International Conference on Machine Learning, 1823-1832, 2015
1012015
Low-resolution gait recognition
J Zhang, J Pu, C Chen, R Fleischer
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2010
992010
Second-order adversarial attack and certifiable robustness
B Li, C Chen, W Wang, L Carin
932018
Bridging the gap between stochastic gradient MCMC and stochastic optimization
C Chen, D Carlson, Z Gan, C Li, L Carin
Artificial Intelligence and Statistics, 1051-1060, 2016
912016
Improving sequence-to-sequence learning via optimal transport
L Chen, Y Zhang, R Zhang, C Tao, Z Gan, H Zhang, B Li, D Shen, C Chen, ...
arXiv preprint arXiv:1901.06283, 2019
812019
Symmetric variational autoencoder and connections to adversarial learning
L Chen, S Dai, Y Pu, E Zhou, C Li, Q Su, C Chen, L Carin
International Conference on Artificial Intelligence and Statistics, 661-669, 2018
722018
Twitter-network topic model: A full Bayesian treatment for social network and text modeling
KW Lim, C Chen, W Buntine
arXiv preprint arXiv:1609.06791, 2016
702016
A unified particle-optimization framework for scalable Bayesian sampling
C Chen, R Zhang, W Wang, B Li, L Chen
arXiv preprint arXiv:1805.11659, 2018
672018
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