Lantao Yu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 63

Top Topics

Image Interpolation

Density Ratio Estimation

Reinforcement Learning

Top Venues

Publications

Yuanhao Gong, Lantao Yu, Guanghui Yue
Isotropic Gaussian Splatting for Real-Time Radiance Field Rendering. CoRR (2024)
Xingzhe He, Zhiwen Cao, Nicholas Kolkin, Lantao Yu, Helge Rhodin, Ratheesh Kalarot
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization. CoRR (2023)
Lantao Yu, Tianhe Yu, Jiaming Song, Willie Neiswanger, Stefano Ermon
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching. CoRR (2023)
Lantao Yu, Tianhe Yu, Jiaming Song, Willie Neiswanger, Stefano Ermon
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching. AAAI (2023)
Lu Ling, Yichen Sheng, Zhi Tu, Wentian Zhao, Cheng Xin, Kun Wan, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, Xuanmao Li, Xingpeng Sun, Rohan Ashok, Aniruddha Mukherjee, Hao Kang, Xiangrui Kong, Gang Hua, Tianyi Zhang, Bedrich Benes, Aniket Bera
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision. CoRR (2023)
Willie Neiswanger, Lantao Yu, Shengjia Zhao, Chenlin Meng, Stefano Ermon
Generalizing Bayesian Optimization with Decision-theoretic Entropies. NeurIPS (2022)
Jiaming Song, Lantao Yu, Willie Neiswanger, Stefano Ermon
A General Recipe for Likelihood-free Bayesian Optimization. CoRR (2022)
Lantao Yu, Dehong Liu, Hassan Mansour, Petros T. Boufounos
Fast and High-Quality Blind Multi-Spectral Image Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Jiaming Song, Lantao Yu, Willie Neiswanger, Stefano Ermon
A General Recipe for Likelihood-free Bayesian Optimization. ICML (2022)
Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation. ICLR (2022)
Willie Neiswanger, Lantao Yu, Shengjia Zhao, Chenlin Meng, Stefano Ermon
Generalizing Bayesian Optimization with Decision-theoretic Entropies. CoRR (2022)
Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation. CoRR (2022)
Lantao Yu, Jiaming Song, Yang Song, Stefano Ermon
Pseudo-Spherical Contrastive Divergence. CoRR (2021)
Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu
Quarter Laplacian Filter for Edge Aware Image Processing. CoRR (2021)
Lantao Yu, Kuida Liu, Michael T. Orchard
Manifold-Inspired Single Image Interpolation. CoRR (2021)
Jiankai Sun, Lantao Yu, Pinqian Dong, Bo Lu, Bolei Zhou
Adversarial Inverse Reinforcement Learning With Self-Attention Dynamics Model. IEEE Robotics Autom. Lett. 6 (2) (2021)
Lantao Yu, Jiaming Song, Yang Song, Stefano Ermon
Pseudo-Spherical Contrastive Divergence. NeurIPS (2021)
Hongwei Wang, Lantao Yu, Zhangjie Cao, Stefano Ermon
Multi-Agent Imitation Learning with Copulas. CoRR (2021)
Lantao Yu, Yujia Jin, Stefano Ermon
A Unified Framework for Multi-distribution Density Ratio Estimation. CoRR (2021)
Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu
A Discrete Scheme for Computing Image's Weighted Gaussian Curvature. ICIP (2021)
Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu
A Discrete Scheme for Computing Image's Weighted Gaussian Curvature. CoRR (2021)
Lantao Yu, Dehong Liu, Hassan Mansour, Petros T. Boufounos
Fast and High-Quality Blind Multi-Spectral Image Pansharpening. CoRR (2021)
Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu
Quarter Laplacian Filter For Edge Aware Image Processing. ICIP (2021)
Hongwei Wang, Lantao Yu, Zhangjie Cao, Stefano Ermon
Multi-agent Imitation Learning with Copulas. ECML/PKDD (1) (2021)
Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon
Training Deep Energy-Based Models with f-Divergence Minimization. ICML (2020)
Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. CoRR (2020)
Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. AAAI (2020)
Chenlin Meng, Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon
Autoregressive Score Matching. CoRR (2020)
Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Y. Zou, Sergey Levine, Chelsea Finn, Tengyu Ma
MOPO: Model-based Offline Policy Optimization. NeurIPS (2020)
Chenlin Meng, Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon
Autoregressive Score Matching. NeurIPS (2020)
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. ECAI (2020)
Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. CoRR (2020)
Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon
Training Deep Energy-Based Models with f-Divergence Minimization. CoRR (2020)
Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Zou, Sergey Levine, Chelsea Finn, Tengyu Ma
MOPO: Model-based Offline Policy Optimization. CoRR (2020)
Yuandong Tian, Lantao Yu, Xinlei Chen, Surya Ganguli
Understanding Self-supervised Learning with Dual Deep Networks. CoRR (2020)
Lantao Yu, Dehong Liu, Hassan Mansour, Petros T. Boufounos, Yanting Ma
Blind Multi-Spectral Image Pan-Sharpening. ICASSP (2020)
Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. AISTATS (2020)
Lantao Yu, Michael T. Orchard
Single Image Interpolation Exploiting Semi-local Similarity. ICASSP (2019)
Lantao Yu, Jiaming Song, Stefano Ermon
Multi-Agent Adversarial Inverse Reinforcement Learning. ICML (2019)
Lantao Yu, Michael T. Orchard
Accurate Edge Location Identification Based on Location-Directed Image Modeling. ICIP (2019)
Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang
Lipschitz Generative Adversarial Nets. ICML (2019)
Lantao Yu, Michael T. Orchard
When Spatially-Variant Filtering Meets Low-Rank Regularization: Exploiting Non-Local Similarity for Single Image Interpolation. ICIP (2019)
Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang
Lipschitz Generative Adversarial Nets. CoRR (2019)
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. CoRR (2019)
Sidi Lu, Lantao Yu, Siyuan Feng, Yaoming Zhu, Weinan Zhang
CoT: Cooperative Training for Generative Modeling of Discrete Data. ICML (2019)
Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang
Deep Reinforcement Learning for Green Security Games with Real-Time Information. AAAI (2019)
Lantao Yu, Tianhe Yu, Chelsea Finn, Stefano Ermon
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables. NeurIPS (2019)
Lantao Yu, Tianhe Yu, Chelsea Finn, Stefano Ermon
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables. CoRR (2019)
Lantao Yu, Jiaming Song, Stefano Ermon
Multi-Agent Adversarial Inverse Reinforcement Learning. CoRR (2019)
Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang
Deep Reinforcement Learning for Green Security Games with Real-Time Information. CoRR (2018)
Zhiming Zhou, Yuxuan Song, Lantao Yu, Yong Yu
Understanding the Effectiveness of Lipschitz Constraint in Training of GANs via Gradient Analysis. CoRR (2018)
Yaodong Yang, Lantao Yu, Yiwei Bai, Ying Wen, Weinan Zhang, Jun Wang
A Study of AI Population Dynamics with Million-agent Reinforcement Learning. AAMAS (2018)
Sidi Lu, Lantao Yu, Weinan Zhang, Yong Yu
CoT: Cooperative Training for Generative Modeling. CoRR (2018)
Swaminathan Gurumurthy, Lantao Yu, Chenyan Zhang, Yongchao Jin, Weiping Li, Xiaodong Zhang, Fei Fang
Exploiting Data and Human Knowledge for Predicting Wildlife Poaching. COMPASS (2018)
Swaminathan Gurumurthy, Lantao Yu, Chenyan Zhang, Yongchao Jin, Weiping Li, Haidong Zhang, Fei Fang
Exploiting Data and Human Knowledge for Predicting Wildlife Poaching. CoRR (2018)
Lantao Yu, Michael T. Orchard
Location-Directed Image Modeling and its Application to Image Interpolation. ICIP (2018)
Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang
Deep Reinforcement Learning for Green Security Game with Online Information. AAAI Workshops (2018)
Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. CoRR (2017)
Yaodong Yang, Lantao Yu, Yiwei Bai, Jun Wang, Weinan Zhang, Ying Wen, Yong Yu
An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning. CoRR (2017)
Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. AAAI (2017)
Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang
Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration. KDD (2017)
Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. SIGIR (2017)
Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. CoRR (2016)