Kun Xu

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 25

Top Topics

Generative Model

Variational Inference

Top Venues

Publications

Chongxuan Li, Kun Xu, Jun Zhu, Jiashuo Liu, Bo Zhang
Triple Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. ICML (2021)
Guoqiang Wu, Chongxuan Li, Kun Xu, Jun Zhu
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization. CoRR (2021)
Guoqiang Wu, Chongxuan Li, Kun Xu, Jun Zhu
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization. NeurIPS (2021)
Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang
Bi-level Score Matching for Learning Energy-based Latent Variable Models. CoRR (2020)
Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. ICLR (2020)
Kun Xu, Chao Du, Chongxuan Li, Jun Zhu, Bo Zhang
Learning Implicit Generative Models by Teaching Density Estimators. ECML/PKDD (2) (2020)
Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu
Efficient Learning of Generative Models via Finite-Difference Score Matching. CoRR (2020)
Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang
To Relieve Your Headache of Training an MRF, Take AdVIL. ICLR (2020)
Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Hang Su, Jun Zhu
Boosting Adversarial Training with Hypersphere Embedding. CoRR (2020)
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. CoRR (2020)
Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
Understanding and Stabilizing GANs' Training Dynamics Using Control Theory. ICML (2020)
Tianyu Pang, Kun Xu, Jun Zhu
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks. ICLR (2020)
Chongxuan Li, Kun Xu, Jiashuo Liu, Jun Zhu, Bo Zhang
Triple Generative Adversarial Networks. CoRR (2019)
Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. CoRR (2019)
Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu
Improving Adversarial Robustness via Promoting Ensemble Diversity. ICML (2019)
Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu
Improving Adversarial Robustness via Promoting Ensemble Diversity. CoRR (2019)
Kun Xu, Chongxuan Li, Huanshu Wei, Jun Zhu, Bo Zhang
Understanding and Stabilizing GANs' Training Dynamics with Control Theory. CoRR (2019)
Tianyu Pang, Kun Xu, Jun Zhu
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks. CoRR (2019)
Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang
Adversarial Variational Inference and Learning in Markov Random Fields. CoRR (2019)
Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
Multi-objects Generation with Amortized Structural Regularization. CoRR (2019)
Kun Xu, Haoyu Liang, Jun Zhu, Hang Su, Bo Zhang
Deep Structured Generative Models. CoRR (2018)
Chao Du, Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
Learning Implicit Generative Models by Teaching Explicit Ones. CoRR (2018)
Chongxuan Li, Kun Xu, Jun Zhu, Bo Zhang
Triple Generative Adversarial Nets. CoRR (2017)
Kun Xu, Hang Su, Jun Zhu, Ji-Song Guan, Bo Zhang
Neuron Segmentation Based on CNN with Semi-Supervised Regularization. CVPR Workshops (2016)