Ruixiang Zhang

Publications

[ICLR] Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
Ting Chen, Ruixiang Zhang, Geoffrey Hinton
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[ICLR] Robust and Controllable Object-Centric Learning through Energy-based Models
Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
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[ICLR] Learning Representation from Neural Fisher Kernel with Low-rank Approximation
Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Joshua M. Susskind
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[Preprint] An Attention Free Transformer
Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh Susskind
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[NeurIPS] Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling
Tong Che^*, Ruixiang Zhang^*, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio
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[ICML] Learning Structured Latent Factors from Dependent Data: A Generative Model Framework from Information-Theoretic Perspective
Ruixiang Zhang, Katsuhiko Ishiguro, Masanori Koyama
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[ICML] Perceptual Generative Autoencoders
Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull
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[AAAI] Deep Verifier: Verification of Deep Discriminative Models with Deep Generative Model
Gerry Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio
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[NeurIPS] MetaGAN: An Adversarial Approach to Few-Shot Learning
Ruixiang Zhang^*, Tong Che^*, Zoubin Ghahramani, Yoshua Bengio, Yangqiu Song
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[VAST] Understanding Hidden Memories of Recurrent Neural Networks
Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, Huamin Qu
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[Preprint] Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
Tong Che^*, Yanran Li^*, Ruixiang Zhang^*, R Devon Hjelm, Wenjie Li, Yangqiu Song, Yoshua Bengio
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