עקוב אחר
Lantao Yu
Lantao Yu
Ph.D., Computer Science, Stanford University
כתובת אימייל מאומתת בדומיין cs.stanford.edu
כותרת
צוטט על ידי
צוטט על ידי
שנה
Seqgan: sequence generative adversarial nets with policy gradient‏
L Yu, W Zhang, J Wang, Y Yu‏
The Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017), 2017‏
30232017
MOPO: Model-based Offline Policy Optimization‏
T Yu, G Thomas, L Yu, S Ermon, J Zou, S Levine, C Finn, T Ma‏
34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020‏
9172020
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models‏
J Wang, L Yu, W Zhang, Y Gong, Y Xu, B Wang, P Zhang, D Zhang‏
SIGIR 2017 (Best Paper Award Honorable Mention), 2017‏
7362017
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation‏
M Xu, L Yu, Y Song, C Shi, S Ermon, J Tang‏
International Conference on Learning Representations (ICLR 2022), 2022‏
5792022
A Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration‏
X Wang*, L Yu*, K Ren, G Tao, W Zhang, Y Yu, J Wang‏
23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017), 2017‏
1822017
Multi-Agent Adversarial Inverse Reinforcement Learning‏
L Yu, J Song, S Ermon‏
36th International Conference on Machine Learning (ICML 2019), 2019‏
1682019
Lipschitz Generative Adversarial Nets‏
Z Zhou, J Liang, Y Song, L Yu, H Wang, W Zhang, Y Yu, Z Zhang‏
36th International Conference on Machine Learning (ICML 2019), 2019‏
1062019
Deep Reinforcement Learning for Green Security Games with Real-Time Information‏
Y Wang, ZR Shi, L Yu, Y Wu, R Singh, L Joppa, F Fang‏
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2018‏
972018
Understanding self-supervised learning with dual deep networks‏
Y Tian, L Yu, X Chen, S Ganguli‏
arXiv preprint arXiv:2010.00578, 2020‏
912020
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables‏
L Yu, T Yu, C Finn, S Ermon‏
33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019‏
882019
Training Deep Energy-Based Models with f-Divergence Minimization‏
L Yu, Y Song, J Song, S Ermon‏
37th International Conference on Machine Learning (ICML 2020), 2020‏
502020
A Study of AI Population Dynamics with Million-agent Reinforcement Learning‏
Y Yang*, L Yu*, Y Bai*, Y Wen, W Zhang, J Wang‏
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018‏
46*2018
Cot: Cooperative training for generative modeling of discrete data‏
S Lu, L Yu, S Feng, Y Zhu, W Zhang‏
International Conference on Machine Learning, 4164-4172, 2019‏
44*2019
Adversarial Inverse Reinforcement Learning with Self-attention Dynamics Model‏
J Sun, L Yu, P Dong, B Lu, B Zhou‏
IEEE Robotics and Automation Letters. (RA-L), 2021‏
382021
Exploiting Data and Human Knowledge for Predicting Wildlife Poaching‏
S Gurumurthy, L Yu, C Zhang, Y Jin, W Li, H Zhang, F Fang‏
ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS 2018), 2018‏
232018
Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets‏
Z Zhou, Y Song, L Yu, H Wang, J Liang, W Zhang, Z Zhang, Y Yu‏
arXiv preprint arXiv:1807.00751, 2018‏
21*2018
A General Recipe for Likelihood-free Bayesian Optimization‏
J Song*, L Yu*, W Neiswanger, S Ermon‏
The 39th International Conference on Machine Learning (ICML 2022), 2022‏
192022
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck‏
Y Song, L Yu, Z Cao, Z Zhou, J Shen, S Shao, W Zhang, Y Yu‏
The 24th European Conference on Artificial Intelligence (ECAI 2020), 2019‏
182019
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip‏
Y Song, M Xu, L Yu, H Zhou, S Shao, Y Yu‏
The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 2019‏
172019
Offline imitation learning with suboptimal demonstrations via relaxed distribution matching‏
L Yu, T Yu, J Song, W Neiswanger, S Ermon‏
Proceedings of the AAAI conference on artificial intelligence 37 (9), 11016 …, 2023‏
162023
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מאמרים 1–20