Ruixiang Zhang
Ruixiang Zhang
Mila, Université de Montréal
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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
MetaGAN: An Adversarial Approach to Few-Shot Learning.
R Zhang, T Che, Z Ghahramani, Y Bengio, Y Song
NeurIPS 2, 8, 2018
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
Perceptual Generative Autoencoders
Z Zhang, R Zhang, Z Li, Y Bengio, L Paull
arXiv preprint arXiv:1906.10335, 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
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
Learning Structured Latent Factors from Dependent Data: A Generative Model Framework from Information-Theoretic Perspective
R Zhang, M Koyama, K Ishiguro
International Conference on Machine Learning, 11141-11152, 2020
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