Complex Valued Gated Auto-encoder for Video Frame Prediction. - Niloofar Azizi; Nils Wandel; Sven Behnke (ESANN, 2019)

3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution. - Yi Zhao 012; Nils Wandel; Magdalena Landl; Andrea Schnepf; Sven Behnke (ESANN, 2020)

Robust Skeletonization for Plant Root Structure Reconstruction from MRI. - Jannis Horn; Yi Zhao 012; Nils Wandel; Magdalena Landl; Andrea Schnepf; Sven Behnke (ICPR, 2020)

Unsupervised Deep Learning of Incompressible Fluid Dynamics. - Nils Wandel; Michael Weinmann; Reinhard Klein (CoRR, 2020)

Fast Fluid Simulations in 3D with Physics-Informed Deep Learning. - Nils Wandel; Michael Weinmann; Reinhard Klein (CoRR, 2020)

Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize. - Nils Wandel; Michael Weinmann; Reinhard Klein (ICLR, 2021)

Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs. - Nils Wandel; Michael Weinmann; Michael Neidlin; Reinhard Klein (AAAI, 2022)

Approaching Partial Differential Equations with Physics-Driven Deep Learning - Nils Wandel (2023)

Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models. - David Stotko; Nils Wandel; Reinhard Klein (CVPR, 2024)

Metamizer: A Versatile Neural Optimizer for Fast and Accurate Physics Simulations. - Nils Wandel; Stefan Schulz; Reinhard Klein (ICLR, 2025)

PyEvalAI: AI-assisted evaluation of Jupyter Notebooks for immediate personalized feedback. - Nils Wandel; David Stotko; Alexander Schier; Reinhard Klein (CoRR, 2025)