Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Computational Theory and Mathematics,Computers in Earth Sciences,Computer Science Applications
Reference63 articles.
1. Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein generative adversarial networks. In: International conference on machine learning. PMLR, pp. 214–223 (2017)
2. Arpat, G.B., Caers, J.: Conditional simulation with patterns. Math. Geol. 39(2), 177–203 (2007)
3. Bai, T., Tahmasebi, P.: Hybrid geological modeling: combining machine learning and multiple-point statistics. Comput. Geosci. 142, 104519 (2020)
4. Bynagari, N.B.: GANs trained by a two time-scale update rule converge to a local Nash equilibrium. Asian Journal of Applied Science and Engineering. 8, 25–34 (2019)
5. Chan, S., Elsheikh, A.H.: Parametrization of stochastic inputs using generative adversarial 21 networks with application in geology. Front. Water. 2, 5 (2020)
Cited by
26 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献