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Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning


Aug 08, 2022
Ting Chen, Ruixiang Zhang, Geoffrey Hinton


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Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation


Mar 03, 2022
Song Wang, Jianke Zhu, Ruixiang Zhang

* 8 pages, 6 figures 

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Learning Representation from Neural Fisher Kernel with Low-rank Approximation


Feb 04, 2022
Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Josh Susskind


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An Attention Free Transformer


May 28, 2021
Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh Susskind


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RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation


Mar 24, 2021
Jianyun Xu, Ruixiang Zhang, Jian Dou, Yushi Zhu, Jie Sun, Shiliang Pu


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Improving unsupervised anomaly localization by applying multi-scale memories to autoencoders


Dec 21, 2020
Yifei Yang, Shibing Xiang, Ruixiang Zhang


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Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective


Jul 21, 2020
Ruixiang Zhang, Masanori Koyama, katsuhiko Ishiguro

* ICML2020 accepted paper 

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Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling


Mar 24, 2020
Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio


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Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models


Nov 18, 2019
Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio


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