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Fast and High-Quality Blind Multi-Spectral Image Pansharpening


Mar 17, 2021
Lantao Yu, Dehong Liu, Hassan Mansour, Petros T. Boufounos

* 17 pages, 47 figures, journal 

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Quarter Laplacian Filter for Edge Aware Image Processing


Jan 20, 2021
Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu


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A Discrete Scheme for Computing Image's Weighted Gaussian Curvature


Jan 20, 2021
Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu


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Autoregressive Score Matching


Oct 24, 2020
Chenlin Meng, Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon

* NeurIPS 2020 

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Understanding Self-supervised Learning with Dual Deep Networks


Oct 22, 2020
Yuandong Tian, Lantao Yu, Xinlei Chen, Surya Ganguli


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Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation


Jul 12, 2020
Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li

* Accepted to International Conference on Artificial Intelligence and Statistics 2020 

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MOPO: Model-based Offline Policy Optimization


May 27, 2020
Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Zou, Sergey Levine, Chelsea Finn, Tengyu Ma

* First two authors contributed equally. Last two authors advised equally 

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Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip


Apr 03, 2020
Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu

* AAAI2020 

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Training Deep Energy-Based Models with f-Divergence Minimization


Mar 06, 2020
Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon


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Improving Unsupervised Domain Adaptation with Variational Information Bottleneck


Nov 21, 2019
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu


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Meta-Inverse Reinforcement Learning with Probabilistic Context Variables


Oct 26, 2019
Lantao Yu, Tianhe Yu, Chelsea Finn, Stefano Ermon

* NeurIPS 2019 

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Multi-Agent Adversarial Inverse Reinforcement Learning


Jul 30, 2019
Lantao Yu, Jiaming Song, Stefano Ermon

* ICML 2019 

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Lipschitz Generative Adversarial Nets


Mar 14, 2019
Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang

* Under review by the International Conference on Machine Learning (ICML 2019) 

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Deep Reinforcement Learning for Green Security Games with Real-Time Information


Nov 06, 2018
Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang


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Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets


Oct 05, 2018
Zhiming Zhou, Yuxuan Song, Lantao Yu, Hongwei Wang, Zhihua Zhang, Weinan Zhang, Yong Yu

* Submitted to ICLR 2019 

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CoT: Cooperative Training for Generative Modeling of Discrete Data


Aug 21, 2018
Sidi Lu, Lantao Yu, Weinan Zhang, Yong Yu


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A Study of AI Population Dynamics with Million-agent Reinforcement Learning


May 14, 2018
Yaodong Yang, Lantao Yu, Yiwei Bai, Jun Wang, Weinan Zhang, Ying Wen, Yong Yu

* Full version of the paper presented at AAMAS 2018 (International Conference on Autonomous Agents and Multiagent Systems) 

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IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models


Feb 22, 2018
Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang

* 12 pages; appendix added 

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SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient


Aug 25, 2017
Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu

* The Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017) 

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