Takip et
Nils Wandel
Nils Wandel
cs.uni-bonn.de üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Learning Incompressible Fluid Dynamics from Scratch--Towards Fast, Differentiable Fluid Models that Generalize
N Wandel, M Weinmann, R Klein
ICLR 2021, 2020
110*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
702021
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
552022
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
42021
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
42020
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
22024
Complex Valued Gated Auto-encoder for Video Frame Prediction
N Azizi, N Wandel, S Behnke
arXiv preprint arXiv:1903.03336, 2019
12019
Metamizer: a versatile neural optimizer for fast and accurate physics simulations
N Wandel, S Schulz, R Klein
arXiv preprint arXiv:2410.19746, 2024
2024
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
BA-INF 153 Einführung in Deep Learning für Visual Computing
R Klein, N Wandel
Masterstudiengangs Lehramt Informatik, 30, 0
Encoder Discriminator Networks for Unsupervised Representation Learning
N Wandel
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–14