Kun Xu

According to our database, Kun Xu authored at least 19 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Triple Generative Adversarial Networks.

Chongxuan Li, Kun Xu, Jun Zhu, Jiashuo Liu, Bo Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization.

Guoqiang Wu, Chongxuan Li, Kun Xu, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models.

Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Bi-level Score Matching for Learning Energy-based Latent Variable Models.

Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang

CoRR, 2020

Efficient Learning of Generative Models via Finite-Difference Score Matching.

Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu

CoRR, 2020

Boosting Adversarial Training with Hypersphere Embedding.

Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Hang Su, Jun Zhu

CoRR, 2020

Learning Implicit Generative Models by Teaching Density Estimators.

Kun Xu, Chao Du, Chongxuan Li, Jun Zhu, Bo Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Understanding and Stabilizing GANs' Training Dynamics Using Control Theory.

Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang

Proceedings of the 37th International Conference on Machine Learning, 2020

Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks.

Tianyu Pang, Kun Xu, Jun Zhu

Proceedings of the 8th International Conference on Learning Representations, 2020

Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness.

Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu

Proceedings of the 8th International Conference on Learning Representations, 2020

To Relieve Your Headache of Training an MRF, Take AdVIL.

Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Understanding and Stabilizing GANs' Training Dynamics with Control Theory.

Kun Xu, Chongxuan Li, Huanshu Wei, Jun Zhu, Bo Zhang

CoRR, 2019

Multi-objects Generation with Amortized Structural Regularization.

Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang

CoRR, 2019

Adversarial Variational Inference and Learning in Markov Random Fields.

Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang

CoRR, 2019

Improving Adversarial Robustness via Promoting Ensemble Diversity.

Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Deep Structured Generative Models.

Kun Xu, Haoyu Liang, Jun Zhu, Hang Su, Bo Zhang

CoRR, 2018

Learning Implicit Generative Models by Teaching Explicit Ones.

Chao Du, Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang

CoRR, 2018

2017

Triple Generative Adversarial Nets.

Chongxuan Li, Kun Xu, Jun Zhu, Bo Zhang

CoRR, 2017

2016

Neuron Segmentation Based on CNN with Semi-Supervised Regularization.

Kun Xu, Hang Su, Jun Zhu, Ji-Song Guan, Bo Zhang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016