Thuerey, Nils
- Neural Scene Graphs for Dynamic Scenes
2020/11/20 by Ost, Julian, Mannan, Fahim, Thuerey, Nils +2 · 32 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR)
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
2020/06/30 by Um, Kiwon, Brand, Robert, Yun +3 · 29 citations
#Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
- Learning to Control PDEs with Differentiable Physics
2020/01/21 by Philipp Holl, Holl, Philipp, Vladlen Koltun +3 · 14 citations
Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Oil and Gas Production Techniques #Reservoir Engineering and Simulation Methods
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
2023/09/04 by Kohl, Georg, Chen, Li-Wei, Thuerey, Nils · 18 citations
#FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG)
- Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow
2018/02/27 by Wiewel, Steffen, Becher, Moritz, Thuerey, Nils · 9 citations
#FOS: Computer and information sciences #Graphics (cs.GR) #Machine Learning (cs.LG)
- Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On
2021/05/13 by Igor Santesteban, Santesteban, Igor, Nils Thuerey +5 · 7 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Motion and Animation
- APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs
2024/10/31 by Felix Koehler, Koehler, Felix, Simon Niedermayr +5 · 2 voices · 10 citations
Computer Science · Physics and Astronomy · #Model Reduction and Neural Networks #Neural Networks and Applications #cs.LG
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics
2022/10/12 by Lukas Prantl, Prantl, Lukas, Benjamin Ummenhofer +5 · 6 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Computational Physics and Python Applications #Generative Adversarial Networks and Image Synthesis
- Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics
2024/02/20 by Bjoern List, List, Bjoern, Liwei Chen +5 · 8 citations
Computer Science · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- Global Transport for Fluid Reconstruction with Learned Self-Supervision
2021/04/13 by Erik Franz, Franz, Aleksandra, Barbara Solenthaler +3 · 3 citations
Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn)
- Liquid Splash Modeling with Neural Networks
2017/04/14 by Um, Kiwon, Hu, Xiangyu, Thuerey, Nils · 2 citations
#FOS: Computer and information sciences #Graphics (cs.GR) #Machine Learning (cs.LG)
- Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision
2023/02/28 by Franz, Aleksandra, Solenthaler, Barbara, Thuerey, Nils · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG)
- Flow Matching for Posterior Inference with Simulator Feedback
2024/10/29 by Benjamin Holzschuh, Holzschuh, Benjamin, Nils Thuerey +1 · 1 voice · 4 citations
Physics and Astronomy · Decision Sciences · #Model Reduction and Neural Networks #Simulation Techniques and Applications
- Incomplete to complete multiphysics forecasting -- a hybrid approach for learning unknown phenomena
2021/11/22 by Nilam Tathawadekar, Nguyen Anh Khoa Doan, Tathawadekar, Nilam +5 · 2 citations
Engineering · Physics and Astronomy · #Combustion and flame dynamics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Model Reduction and Neural Networks #Nuclear Engineering Thermal-Hydraulics
- WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models
2022/05/02 by Sagar Garg, Stephan Rasp, Garg, Sagar +3 · 2 citations
Environmental Science · Earth and Planetary Sciences · #Hydrological Forecasting Using AI #Meteorological Phenomena and Simulations #Hydrology and Drought Analysis
- PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations
2025/05/30 by Benjamin Holzschuh, Holzschuh, Benjamin, Qiang Liu +5 · 8 citations
Engineering · Materials Science · #FOS: Computer and information sciences #High voltage insulation and dielectric phenomena #Machine Learning (cs.LG) #Magnetic Field Sensors Techniques #Plasma Diagnostics and Applications
- Physics vs Distributions: Pareto Optimal Flow Matching with Physics Constraints
2025/06/10 by Giacomo Baldan, Qiang Liu, Baldan, Giacomo +5 · 1 voice · 7 citations
Computer Science · Physics and Astronomy · Engineering · #cs.LG #cs.AI #cs.CE #math.NA
- Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence
2023/09/28 by Robin Greif, F. Jenko, Greif, Robin +3 · 2 citations
Computer Science · Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics and Turbulent Flows #Model Reduction and Neural Networks #Plasma Physics (physics.plasm-ph)
- Coupled Fluid Density and Motion from Single Views
2018/06/18 by Eckert, Marie-Lena, Heidrich, Wolfgang, Thuerey, Nils · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #G.1.6 #G.1.8 #Graphics (cs.GR) #I.3.7 #I.4.5 #I.6.8
- Latent Space Subdivision: Stable and Controllable Time Predictions for\n Fluid Flow
2020/03/12 by Steffen Wiewel, Wiewel, Steffen, Byungsoo Kim +7 · 1 citation
Computer Science · Environmental Science · Physics and Astronomy · #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Graphics (cs.GR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Wind and Air Flow Studies
- Simulating Liquids with Graph Networks
2022/03/14 by Jonathan Klimesch, Philipp Holl, Klimesch, Jonathan +3 · 1 citation
Computer Science · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare
- Exploring Physical Latent Spaces for High-Resolution Flow Restoration
2022/11/21 by Paliard, Chloe, Thuerey, Nils, Um, Kiwon · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Solving Inverse Physics Problems with Score Matching
2023/01/24 by Benjamin Holzschuh, Simona Vegetti, Holzschuh, Benjamin J. +3 · 2 citations
Computer Science · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #Generative Adversarial Networks and Image Synthesis
- A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks
2020/05/16 by Hao Ma, Xiangyu Hu, Ma, Hao +7 · 1 citation
Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Nuclear Engineering Thermal-Hydraulics #Nuclear reactor physics and engineering
- Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data
2025/10/27 by Koehler, Felix, Thuerey, Nils · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)