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Minkai Xu
Minkai Xu
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Zitiert von
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GraphAF: a flow-based autoregressive model for molecular graph generation
M Xu*, C Shi*, Z Zhu, W Zhang, M Zhang, J Tang
The 8th International Conference on Learning Representations (ICLR 2020), 2020
199*2020
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
832020
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
M Xu, L Yu, Y Song, C Shi, S Ermon, J Tang
arXiv preprint arXiv:2203.02923, 2022
672022
Learning gradient fields for molecular conformation generation
C Shi, S Luo, M Xu, J Tang
International Conference on Machine Learning, 9558-9568, 2021
672021
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
482020
Predicting molecular conformation via dynamic graph score matching
S Luo, C Shi, M Xu, J Tang
Advances in Neural Information Processing Systems 34, 19784-19795, 2021
312021
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
International Conference on Machine Learning, 11537-11547, 2021
312021
Energy-based imitation learning
M Liu, T He, M Xu, W Zhang
arXiv preprint arXiv:2004.09395, 2020
222020
Generative coarse-graining of molecular conformations
W Wang, M Xu, C Cai, BK Miller, T Smidt, Y Wang, J Tang, ...
arXiv preprint arXiv:2201.12176, 2022
92022
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
82020
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
72020
GraphAF: a flow-based autoregressive model for molecular graph generation (2020)
C Shi, M Xu, Z Zhu, W Zhang, M Zhang, J Tang
arXiv preprint arXiv:2001.09382, 2001
72001
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
42020
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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