Ruixiang Zhang
Ruixiang Zhang
Mila, Université de Montréal
Zweryfikowany adres z mila.quebec
Tytuł
Cytowane przez
Cytowane przez
Rok
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
1842017
MetaGAN: An Adversarial Approach to Few-Shot Learning.
R Zhang, T Che, Z Ghahramani, Y Bengio, Y Song
NeurIPS 2, 8, 2018
1812018
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
1272017
Perceptual Generative Autoencoders
Z Zhang, R Zhang, Z Li, Y Bengio, L Paull
arXiv preprint arXiv:1906.10335, 2019
50*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 1, 2019
252019
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
212020
An Attention Free Transformer
S Zhai, W Talbott, N Srivastava, C Huang, H Goh, R Zhang, J Susskind
arXiv preprint arXiv:2105.14103, 2021
12021
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
2020
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–8