| Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers K Um, R Brand, YR Fei, P Holl, N Thuerey Advances in Neural Information Processing Systems, 2020 | 303 | 2020 |
| Physics-based Deep Learning N Thuerey, P Holl, M Mueller, P Schnell, F Trost, K Um arXiv preprint arXiv:2109.05237, 2021 | 174 | 2021 |
| Liquid splash modeling with neural networks K Um, X Hu, N Thuerey Computer Graphics Forum 37 (8), 171-182, 2018 | 117 | 2018 |
| ScalarFlow: a large-scale volumetric data set of real-world scalar transport flows for computer animation and machine learning ML Eckert, K Um, N Thuerey ACM Transactions on Graphics (TOG) 38 (6), 239, 2019 | 73 | 2019 |
| phiflow: A Differentiable PDE Solving Framework for Deep Learning via Physical Simulations P Holl, V Koltun, K Um, N Thuerey NeurIPS Workshop, 2020 | 65 | 2020 |
| Perceptual evaluation of liquid simulation methods K Um, X Hu, N Thuerey ACM Transactions on Graphics (TOG) 36 (4), 143, 2017 | 33 | 2017 |
| Advanced hybrid particle‐grid method with sub‐grid particle correction K Um, S Baek, JH Han Computer Graphics Forum 33 (7), 209-218, 2014 | 24 | 2014 |
| Learning Similarity Metrics for Numerical Simulations G Kohl, K Um, N Thuerey International Conference on Machine Learning, 2020 | 19 | 2020 |
| Porous deformable shell simulation with surface water flow and saturation K Um, TY Kim, Y Kwon, JH Han Computer Animation and Virtual Worlds 24 (3-4), 247-254, 2013 | 16 | 2013 |
| Constrained projective dynamics: real-time simulation of deformable objects with energy-momentum conservation MH Kee, K Um, W Jeong, J Han ACM Transactions on Graphics (TOG) 40 (4), 1-12, 2021 | 9 | 2021 |
| Spot the difference: Accuracy of numerical simulations via the human visual system K Um, X Hu, B Wang, N Thuerey ACM Transactions on Applied Perception (TAP) 18 (2), 1-15, 2021 | 9 | 2021 |
| Muddy water animation with different details S Baek, K Um, JH Han Computer Animation and Virtual Worlds 26 (3-4), 347-355, 2015 | 7 | 2015 |
| Computer-generated iron filing art W Yoon, N Lee, K Um, JH Han The Visual Computer 30, 889-895, 2014 | 4 | 2014 |
| An Optimization‐based SPH Solver for Simulation of Hyperelastic Solids MH Kee, K Um, HM Kang, JH Han Computer Graphics Forum 42 (2), 225-233, 2023 | 3 | 2023 |
| Inversion alleviation for stable elastic body simulation JH Lee, S Kim, K Um, MH Kee, JH Han Computer Animation and Virtual Worlds, e2183, 2023 | 1 | 2023 |
| Solver-in-the-loop approach to turbulence closure A Freitas, K Um, M Desbrun, M Buzzicotti, L Biferale arXiv preprint arXiv:2411.13194, 2024 | | 2024 |
| Momentum‐preserving inversion alleviation for elastic material simulation H Jeong, S Kim, JH Lee, K Um, MH Kee, JH Han Computer Animation and Virtual Worlds 35 (3), e2249, 2024 | | 2024 |
| Exploring Physical Latent Spaces for High-Resolution Flow Restoration C Paliard, N Thuerey, K Um The International Symposium on Vision, Modeling, and Visualization (VMV), 2023 | | 2023 |
| Differentiable Physics for Improving the Accuracy of Iterative PDE-Solvers with Neural Networks K Um, YR Fei, P Holl, R Brand, N Thuerey NeurIPS Workshop, 2020 | | 2020 |
| Learning Time-Aware Assistance Functions for Numerical Fluid Solvers K Um, YR Fei, P Holl, N Thuerey | | 2019 |
Nils ThuereyTechnical University of MunichE-mail confirmado em tum.de
