Minkai Xu
Minkai Xu
Mila - Quebec AI Institute
Verified email at umontreal.ca - Homepage
Title
Cited by
Cited by
Year
GraphAF: a flow-based autoregressive model for molecular graph generation
C Shi*, M Xu*, Z Zhu, W Zhang, M Zhang, J Tang
The 8th International Conference on Learning Representations (ICLR 2020), 2020
742020
A graph to graphs framework for retrosynthesis prediction
C Shi, M Xu, H Guo, M Zhang, J Tang
International Conference on Machine Learning, 8818-8827, 2020
332020
Learning Neural Generative Dynamics for Molecular Conformation Generation
M Xu, S Luo, Y Bengio, J Peng, J Tang
The 9th International Conference on Learning Representations (ICLR 2021), 2020
142020
Learning gradient fields for molecular conformation generation
C Shi, S Luo, M Xu, J Tang
arXiv preprint arXiv:2105.03902, 2021
82021
Energy-based imitation learning
M Liu, T He, M Xu, W Zhang
arXiv preprint arXiv:2004.09395, 2020
62020
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator
Y Song*, Q Ye*, M Xu*, TY Liu
arXiv preprint arXiv:2004.01704, 2020
52020
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
M Xu, W Wang, S Luo, C Shi, Y Bengio, R Gomez-Bombarelli, J Tang
arXiv preprint arXiv:2105.07246, 2021
32021
Towards Generalized Implementation of Wasserstein Distance in GANs
M Xu, Z Zhou, G Lu, J Tang, W Zhang, Y Yu
The 35th AAAI Conference on Artificial Intelligence (AAAI 2021), 2020
22020
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), 2020
22020
Reciprocal Supervised Learning Improves Neural Machine Translation
M Xu, M Wang, Z Lin, H Zhou, W Zhang, L Li
arXiv preprint arXiv:2012.02975, 2020
2020
A GRAPH TO GRAPHS FRAMEWORK FOR RETROSYNTHESIS PREDICTION CHANCE
C Shi, M Xu, H Guo, M Zhang, J Tang
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Articles 1–11