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2020 – today
- 2024
[i4]Vincent C. Scholz, Yaohua Zang, Phaedon-Stelios Koutsourelakis:
Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastography. CoRR abs/2407.20697 (2024)- 2023
- [i3]Yaohua Zang, Gang Bao:
ParticleWNN: a Novel Neural Networks Framework for Solving Partial Differential Equations. CoRR abs/2305.12433 (2023) - 2022
- [j2]Hanwen Kang
, Yaohua Zang, Xing Wang, Yaohui Chen:
Uncertainty-Driven Spiral Trajectory for Robotic Peg-in-Hole Assembly. IEEE Robotics Autom. Lett. 7(3): 6661-6668 (2022) - [c1]Yaohua Zang, Jihao Long, Xuanxi Zhang, Wei Hu, Weinan E, Jiequn Han:
A Machine Learning Enhanced Algorithm for the Optimal Landing Problem. MSML 2022: 319-334 - 2020
- [j1]Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou:
Weak adversarial networks for high-dimensional partial differential equations. J. Comput. Phys. 411: 109409 (2020) - [i2]Gang Bao, Xiaojing Ye, Yaohua Zang, Haomin Zhou:
Numerical Solution of Inverse Problems by Weak Adversarial Networks. CoRR abs/2002.11340 (2020)
2010 – 2019
- 2019
- [i1]Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou:
Weak Adversarial Networks for High-dimensional Partial Differential Equations. CoRR abs/1907.08272 (2019)
Coauthor Index
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