Shu, Rui

17 publications

AAAI 2025 Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable Defense Zhenbo Shi, Xiaoman Liu, Yuxuan Zhang, Shuchang Wang, Rui Shu, Zhidong Yu, Wei Yang, Liusheng Huang

ICML 2022 Bit Prioritization in Variational Autoencoders via Progressive Coding Rui Shu, Stefano Ermon

ICLR 2021 Anytime Sampling for Autoregressive Models via Ordered Autoencoding Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon

ICML 2021 Temporal Predictive Coding for Model-Based Planning in Latent Space Tung D Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon

AAAI 2020 AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon

ICML 2020 Fair Generative Modeling via Weak Supervision Kristy Choi, Aditya Grover, Trisha Singh, Rui Shu, Stefano Ermon

ICLR 2020 Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui

ICML 2020 Predictive Coding for Locally-Linear Control Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung Bui

ICLR 2020 Weakly Supervised Disentanglement with Guarantees Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole

ICLRW 2019 AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon

AISTATS 2019 Training Variational Autoencoders with Buffered Stochastic Variational Inference Rui Shu, Hung Bui, Jay Whang, Stefano Ermon

ICLR 2018 A DIRT-T Approach to Unsupervised Domain Adaptation Rui Shu, Hung Bui, Hirokazu Narui, Stefano Ermon

NeurIPS 2018 Amortized Inference Regularization Rui Shu, Hung H Bui, Shengjia Zhao, Mykel J Kochenderfer, Stefano Ermon

UAI 2018 Bayesian Optimization and Attribute Adjustment Stephan Eismann, Daniel Levy, Rui Shu, Stefan Bartzsch, Stefano Ermon

NeurIPS 2018 Constructing Unrestricted Adversarial Examples with Generative Models Yang Song, Rui Shu, Nate Kushman, Stefano Ermon

AISTATS 2018 Robust Locally-Linear Controllable Embedding Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi

ICML 2017 Bottleneck Conditional Density Estimation Rui Shu, Hung H. Bui, Mohammad Ghavamzadeh