| Learning Incompressible Fluid Dynamics from Scratch--Towards Fast, Differentiable Fluid Models that Generalize N Wandel, M Weinmann, R Klein ICLR 2021, 2020 | 96* | 2020 |
| Teaching the incompressible Navier–Stokes equations to fast neural surrogate models in three dimensions N Wandel, M Weinmann, R Klein Physics of Fluids 33 (4), 2021 | 59 | 2021 |
| Spline-pinn: Approaching pdes without data using fast, physics-informed hermite-spline cnns N Wandel, M Weinmann, M Neidlin, R Klein Proceedings of the AAAI conference on artificial intelligence 36 (8), 8529-8538, 2022 | 44 | 2022 |
| 3D U-Net for segmentation of plant root MRI images in super-resolution Y Zhao, N Wandel, M Landl, A Schnepf, S Behnke arXiv preprint arXiv:2002.09317, 2020 | 4 | 2020 |
| Robust skeletonization for plant root structure reconstruction from MRI J Horn, Y Zhao, N Wandel, M Landl, A Schnepf, S Behnke 2020 25th International Conference on Pattern Recognition (ICPR), 10689-10696, 2021 | 2 | 2021 |
| Physics-guided shape-from-template: monocular video perception through neural surrogate models D Stotko, N Wandel, R Klein Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Complex Valued Gated Auto-encoder for Video Frame Prediction N Azizi, N Wandel, S Behnke arXiv preprint arXiv:1903.03336, 2019 | 1 | 2019 |
| Approaching Partial Differential Equations with Physics-Driven Deep Learning N Wandel Universitäts-und Landesbibliothek Bonn, 2023 | | 2023 |
| Publication:“Teaching the Incompressible Navier-Stokes Equations to Fast Neural Surrogate Models in 3D” N Wandel, M Weinmann, R Klein Nils Wandel, 2023 | | 2023 |
| Publication:“Learning Incompressible Fluid Dynamics from Scratch-Towards Fast, Differentiable Fluid Models that Generalize” N Wandel, M Weinmann, R Klein Nils Wandel, 79, 2023 | | 2023 |
| Harmonic inharmonicity: Eliminating beats with quantized harmonics N Wandel, CR Klein, R Klein Applied Acoustics 213, 109602, 2023 | | 2023 |
| Encoder Discriminator Networks for Unsupervised Representation Learning N Wandel | | |
Reinhard KleinProfessor of Computer Science, Bonn University在 cs.uni-bonn.de 的电子邮件经过验证
Reinhard KleinProfessor of Computer Science, Bonn University在 cs.uni-bonn.de 的电子邮件经过验证
Michael WeinmannDelft University of Technology在 tudelft.nl 的电子邮件经过验证