Ruixiang Zhang
Ruixiang Zhang
Mila, Université de Montréal
Verified email at mila.quebec
Title
Cited by
Cited by
Year
Maximum-likelihood augmented discrete generative adversarial networks
T Che, Y Li, R Zhang, RD Hjelm, W Li, Y Song, Y Bengio
arXiv preprint arXiv:1702.07983, 2017
1562017
MetaGAN: An Adversarial Approach to Few-Shot Learning
R Zhang, T Che, Z Ghahramani, Y Bengio, Y Song
Advances in Neural Information Processing Systems, 2365-2374, 2018
1112018
Understanding hidden memories of recurrent neural networks
Y Ming, S Cao, R Zhang, Z Li, Y Chen, Y Song, H Qu
2017 IEEE Conference on Visual Analytics Science and Technology (VAST), 13-24, 2017
992017
Perceptual Generative Autoencoders
Z Zhang, R Zhang, Z Li, Y Bengio, L Paull
arXiv preprint arXiv:1906.10335, 2019
25*2019
Deep verifier networks: Verification of deep discriminative models with deep generative models
T Che, X Liu, S Li, Y Ge, R Zhang, C Xiong, Y Bengio
arXiv preprint arXiv:1911.07421, 2019
162019
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
T Che, R Zhang, J Sohl-Dickstein, H Larochelle, L Paull, Y Cao, Y Bengio
arXiv preprint arXiv:2003.06060, 2020
62020
Learning Structured Latent Factors from Dependent Data: A Generative Model Framework from Information-Theoretic Perspective
R Zhang, M Koyama
arXiv preprint arXiv:2007.10623, 2020
2020
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