| Unsupervised learning of particle image velocimetry M Zhang, MD Piggott High Performance Computing: ISC High Performance 2020 International …, 2020 | 28 | 2020 |
| End-to-end wind turbine wake modelling with deep graph representation learning S Li, M Zhang, MD Piggott Applied Energy 339, 120928, 2023 | 16 | 2023 |
| M2N: Mesh movement networks for PDE solvers W Song, M Zhang, JG Wallwork, J Gao, Z Tian, F Sun, MD Piggott, J Chen, ... Advances in neural information processing systems 35, 7199-7210, 2022 | 15 | 2022 |
| Learning to Estimate and Refine Fluid Motion with Physical Dynamics M Zhang, J Wang, J Tlhomole, MD Piggott Proceedings of the 39th International Conference on Machine Learning 162 …, 2022 | 10 | 2022 |
| E2n: error estimation networks for goal-oriented mesh adaptation JG Wallwork, J Lu, M Zhang, MD Piggott arXiv preprint arXiv:2207.11233, 2022 | 8 | 2022 |
| Complex locomotion skill learning via differentiable physics Y Fang, J Liu, M Zhang, J Zhang, Y Ma, M Li, Y Hu, C Jiang, T Liu arXiv preprint arXiv:2206.02341, 2022 | 3 | 2022 |
| UM2N: Towards Universal Mesh Movement Networks M Zhang, C Wang, S Kramer, JG Wallwork, S Li, J Liu, X Chen, ... arXiv preprint arXiv:2407.00382, 2024 | | 2024 |
| Complex Locomotion Skill Learning via Differentiable Physics J Liu, Y Fang, M Zhang, J Zhang, Y Ma, M Li, Y Hu, C Jiang, T Liu | | |
Matthew PiggottProfessor, Earth Science and Engineering, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
