Thuerey, Nils

41 publications

ICLR 2025 ConFIG: Towards Conflict-Free Training of Physics Informed Neural Networks Qiang Liu, Mengyu Chu, Nils Thuerey

NeurIPS 2025 INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers Hao Wei, Aleksandra Franz, Björn Malte List, Nils Thuerey

ICLR 2025 Improved Sampling of Diffusion Models in Fluid Dynamics with Tweedie's Formula Youssef Shehata, Benjamin Holzschuh, Nils Thuerey

ICLRW 2025 Improved Sampling of Diffusion Models in Fluid Dynamics with Tweedie's Formula Youssef Shehata, Benjamin Holzschuh, Nils Thuerey

ICLR 2025 Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks Mario Lino Valencia, Tobias Pfaff, Nils Thuerey

ICLRW 2025 Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks Mario Lino Valencia, Tobias Pfaff, Nils Thuerey

NeurIPS 2025 Neural Emulator Superiority: When Machine Learning for PDEs Surpasses Its Training Data Felix Koehler, Nils Thuerey

ICML 2025 PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Benjamin Holzschuh, Qiang Liu, Georg Kohl, Nils Thuerey

ICLR 2025 PRDP: Progressively Refined Differentiable Physics Kanishk Bhatia, Felix Koehler, Nils Thuerey

ICLR 2025 Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster Patrick Schnell, Luca Guastoni, Nils Thuerey

ICMLW 2024 $\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for Machine Learning Philipp Holl, Nils Thuerey

ICML 2024 $\bfΦ_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and JAX Philipp Holl, Nils Thuerey

NeurIPS 2024 APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs Felix Koehler, Simon Niedermayr, Rüdiger Westermann, Nils Thuerey

ICMLW 2024 Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation Georg Kohl, Liwei Chen, Nils Thuerey

ICMLW 2024 Improving Flow Matching for Posterior Inference with Physics-Based Controls Benjamin Holzschuh, Nils Thuerey

ICMLW 2024 PICT: Adaptive GPU Accelerated Differentiable Fluid Simulation for Machine Learning Aleksandra Franz, Nils Thuerey

ICMLW 2024 SE(3)-Equivariant Diffusion Graph Nets: Synthesizing Flow Fields by Denoising Invariant Latents on Graphs Mario Lino Valencia, Nils Thuerey, Tobias Pfaff

ICLR 2024 Stabilizing Backpropagation Through Time to Learn Complex Physics Patrick Schnell, Nils Thuerey

ICLR 2024 Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics Rene Winchenbach, Nils Thuerey

ICMLW 2024 Uncertainty-Aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models Qiang Liu, Nils Thuerey

ICMLW 2023 A Gradient Flow Modification to Improve Learning from Differentiable Quantum Simulators Patrick Schnell, Nils Thuerey

AAAI 2023 Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs Georg Kohl, Li-Wei Chen, Nils Thuerey

ICLR 2023 Learning to Estimate Single-View Volumetric Flow Motions Without 3D Supervision Aleksandra Franz, Barbara Solenthaler, Nils Thuerey

NeurIPS 2023 Solving Inverse Physics Problems with Score Matching Benjamin Holzschuh, Simona Vegetti, Nils Thuerey

ICMLW 2023 Solving Inverse Physics Problems with Score Matching Benjamin Holzschuh, Simona Vegetti, Nils Thuerey

ICLRW 2022 Control of Two-Way Coupled Fluid Systems with Differentiable Solvers Brener Ramos, Felix Trost, Nils Thuerey

NeurIPS 2022 Guaranteed Conservation of Momentum for Learning Particle-Based Fluid Dynamics Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey

ICLR 2022 Half-Inverse Gradients for Physical Deep Learning Patrick Schnell, Philipp Holl, Nils Thuerey

NeurIPS 2022 Scale-Invariant Learning by Physics Inversion Philipp Holl, Vladlen Koltun, Nils Thuerey

CVPR 2022 TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates You Xie, Huiqi Mao, Angela Yao, Nils Thuerey

NeurIPS 2022 ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-on Igor Santesteban, Miguel Otaduy, Nils Thuerey, Dan Casas

CVPR 2021 Global Transport for Fluid Reconstruction with Learned Self-Supervision Erik Franz, Barbara Solenthaler, Nils Thuerey

CVPR 2021 Neural Scene Graphs for Dynamic Scenes Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, Felix Heide

CVPR 2021 Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-on Igor Santesteban, Nils Thuerey, Miguel A. Otaduy, Dan Casas

ICLR 2020 Lagrangian Fluid Simulation with Continuous Convolutions Benjamin Ummenhofer, Lukas Prantl, Nils Thuerey, Vladlen Koltun

ICML 2020 Learning Similarity Metrics for Numerical Simulations Georg Kohl, Kiwon Um, Nils Thuerey

ICLR 2020 Learning Time-Aware Assistance Functions for Numerical Fluid Solvers Kiwon Um, Yun Fei, Philipp Holl, Nils Thuerey

ICLR 2020 Learning to Control PDEs with Differentiable Physics Philipp Holl, Vladlen Koltun, Nils Thuerey

NeurIPS 2020 Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers Kiwon Um, Robert Brand, Yun Fei, Philipp Holl, Nils Thuerey

ICLR 2020 Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds Lukas Prantl, Nuttapong Chentanez, Stefan Jeschke, Nils Thuerey

ICLR 2019 Generating Liquid Simulations with Deformation-Aware Neural Networks Lukas Prantl, Boris Bonev, Nils Thuerey