Nils Thuerey - RankMe

135 papers A* 27A 1Journal 98Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking autoregressive conditional diffusion models for turbulent flow simulation. Neural Networks Georg Kohl, Li-Wei Chen, Nils Thuerey
2026	J	`jnl`	PICT-A differentiable, GPU-accelerated multi-block PISO solver for simulation-coupled learning tasks in fluid dynamics. J. Comput. Phys. Aleksandra Franz, Hao Wei, Luca Guastoni, Nils Thuerey
2026	J	`jnl`	Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control. CoRR Jannis Becktepe, Aleksandra Franz, Nils Thuerey, Sebastian Peitz
2026	J	`jnl`	diffSPH: Differentiable smoothed particle hydrodynamics for hybrid machine learning solutions in fluid mechanics. J. Comput. Phys. Rene Winchenbach, Nils Thuerey
2025	J	`jnl`	Adaptive Phase-Field-FLIP for Very Large Scale Two-Phase Fluid Simulation. ACM Trans. Graph. Bernhard Braun, Jan Bender, Nils Thuerey
2025	J	`jnl`	Component-Based Machine Learning for Indoor Flow and Temperature Fields Prediction Latent Feature Aggregation and Flow Interaction. CoRR Shaofan Wang, Nils Thuerey, Philipp Geyer
2025	A*	`conf`	ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks. ICLR Qiang Liu, Mengyu Chu, Nils Thuerey
2025	J	`jnl`	Flow Matching Meets PDEs: A Unified Framework for Physics-Constrained Generation. CoRR Giacomo Baldan, Qiang Liu, Alberto Guardone, Nils Thuerey
2025	J	`jnl`	Guiding diffusion models to reconstruct flow fields from sparse data. CoRR Marc Amorós-Trepat, Luis Medrano-Navarro, Qiang Liu, Luca Guastoni, Nils Thuerey
2025	J	`jnl`	INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers. CoRR Hao Wei, Aleksandra Franz, Björn List, Nils Thuerey
2025	A*	`conf`	Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula. ICLR Youssef Shehata, Benjamin J. Holzschuh, Nils Thuerey
2025	A*	`conf`	Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks. ICLR Mario Lino Valencia, Tobias Pfaff, Nils Thuerey
2025	J	`jnl`	Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks. CoRR Mario Lino, Tobias Pfaff, Nils Thuerey
2025	J	`jnl`	Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes. CoRR Ludwic Leonard Méndez, Nils Thuerey, Rüdiger Westermann
2025	J	`jnl`	Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data. CoRR Felix Koehler, Nils Thuerey
2025	J	`jnl`	Optimization Landscapes Learned: Proxy Networks Boost Convergence in Physics-based Inverse Problems. CoRR Girnar Goyal, Philipp Holl, Sweta Agrawal, Nils Thuerey
2025	J	`jnl`	P3D: Scalable Neural Surrogates for High-Resolution 3D Physics Simulations with Global Context. CoRR Benjamin J. Holzschuh, Georg Kohl, Florian Redinger, Nils Thuerey
2025	A*	`conf`	PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations. ICML Benjamin J. Holzschuh, Qiang Liu, Georg Kohl, Nils Thuerey
2025	J	`jnl`	PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations. CoRR Benjamin J. Holzschuh, Qiang Liu, Georg Kohl, Nils Thuerey
2025	J	`jnl`	PICT - A Differentiable, GPU-Accelerated Multi-Block PISO Solver for Simulation-Coupled Learning Tasks in Fluid Dynamics. CoRR Aleksandra Franz, Hao Wei, Luca Guastoni, Nils Thuerey
2025	A*	`conf`	PRDP: Progressively Refined Differentiable Physics. ICLR Kanishk Bhatia, Felix Koehler, Nils Thuerey
2025	J	`jnl`	PRDP: Progressively Refined Differentiable Physics. CoRR Kanishk Bhatia, Felix Koehler, Nils Thuerey
2025	J	`jnl`	Physically consistent and uncertainty-aware learning of spatiotemporal dynamics. CoRR Qingsong Xu, Jonathan L. Bamber, Nils Thuerey, Niklas Boers, Paul Bates, Gustau Camps-Valls, Yilei Shi, Xiao Xiang Zhu
2025	J	`jnl`	SuperWing: a comprehensive transonic wing dataset for data-driven aerodynamic design. CoRR Yunjia Yang, Weishao Tang, Mengxin Liu, Nils Thuerey, Yufei Zhang, Haixin Chen
2025	A*	`conf`	Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster. ICLR Patrick Schnell, Luca Guastoni, Nils Thuerey
2025	J	`jnl`	diffSPH: Differentiable Smoothed Particle Hydrodynamics for Adjoint Optimization and Machine Learning. CoRR Rene Winchenbach, Nils Thuerey
2024	A*	`conf`	APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs. NeurIPS Felix Koehler, Simon Niedermayr, Rüdiger Westermann, Nils Thuerey
2024	J	`jnl`	APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs. CoRR Felix Koehler, Simon Niedermayr, Rüdiger Westermann, Nils Thuerey
2024	J	`jnl`	ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks. CoRR Qiang Liu, Mengyu Chu, Nils Thuerey
2024	J	`jnl`	Deep learning-based predictive modelling of transonic flow over an aerofoil. CoRR Li-Wei Chen, Nils Thuerey
2024	J	`jnl`	Flow Matching for Posterior Inference with Simulator Feedback. CoRR Benjamin J. Holzschuh, Nils Thuerey
2024	J	`jnl`	How Temporal Unrolling Supports Neural Physics Simulators. CoRR Björn List, Li-Wei Chen, Kartik Bali, Nils Thuerey
2024	J	`jnl`	Physics-embedded Fourier Neural Network for Partial Differential Equations. CoRR Qingsong Xu, Nils Thuerey, Yilei Shi, Jonathan Bamber, Chaojun Ouyang, Xiao Xiang Zhu
2024	A*	`conf`	Stabilizing Backpropagation Through Time to Learn Complex Physics. ICLR Patrick Schnell, Nils Thuerey
2024	J	`jnl`	Stabilizing Backpropagation Through Time to Learn Complex Physics. CoRR Patrick Schnell, Nils Thuerey
2024	A*	`conf`	Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics. ICLR Rene Winchenbach, Nils Thuerey
2024	J	`jnl`	Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics. CoRR Rene Winchenbach, Nils Thuerey
2024	J	`jnl`	The Unreasonable Effectiveness of Solving Inverse Problems with Neural Networks. CoRR Philipp Holl, Nils Thuerey
2024	J	`jnl`	Φ-ML: Intuitive Scientific Computing with Dimension Types for Jax, PyTorch, TensorFlow & NumPy. J. Open Source Softw. Philipp Holl, Nils Thuerey
2024	A*	`conf`	ΦFlow: Differentiable Simulations for PyTorch, TensorFlow and Jax. ICML Philipp Holl, Nils Thuerey
2023	—	`conf`	Exploring Physical Latent Spaces for High-Resolution Flow Restoration. VMV Chloé Paliard, Nils Thuerey, Kiwon Um
2023	A*	`conf`	Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs. AAAI Georg Kohl, Li-Wei Chen, Nils Thuerey
2023	A*	`conf`	Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision. ICLR Aleksandra Franz, Barbara Solenthaler, Nils Thuerey
2023	J	`jnl`	Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision. CoRR Aleksandra Franz, Barbara Solenthaler, Nils Thuerey
2023	J	`jnl`	Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence. CoRR Robin Greif, Frank Jenko, Nils Thuerey
2023	J	`jnl`	Reviving autoencoder pretraining. Neural Comput. Appl. You Xie, Nils Thuerey
2023	J	`jnl`	Score Matching via Differentiable Physics. CoRR Benjamin J. Holzschuh, Simona Vegetti, Nils Thuerey
2023	A*	`conf`	Solving Inverse Physics Problems with Score Matching. NeurIPS Benjamin J. Holzschuh, Simona Vegetti, Nils Thuerey
2023	J	`jnl`	Turbulent Flow Simulation using Autoregressive Conditional Diffusion Models. CoRR Georg Kohl, Li-Wei Chen, Nils Thuerey
2023	J	`jnl`	Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models. CoRR Qiang Liu, Nils Thuerey
2022	A	`conf`	A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand. IROS Dominik Winkelbauer, Berthold Bäuml, Matthias Humt, Nils Thuerey, Rudolph Triebel
2022	J	`jnl`	Control of Two-way Coupled Fluid Systems with Differentiable Solvers. CoRR Brener Ramos, Felix Trost, Nils Thuerey
2022	J	`jnl`	Exploring Physical Latent Spaces for Deep Learning. CoRR Chloé Paliard, Nils Thuerey, Kiwon Um
2022	A*	`conf`	Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. NeurIPS Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey
2022	J	`jnl`	Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. CoRR Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey
2022	A*	`conf`	Half-Inverse Gradients for Physical Deep Learning. ICLR Patrick Schnell, Philipp Holl, Nils Thuerey
2022	J	`jnl`	Half-Inverse Gradients for Physical Deep Learning. CoRR Patrick Schnell, Philipp Holl, Nils Thuerey
2022	J	`jnl`	Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs. CoRR Georg Kohl, Li-Wei Chen, Nils Thuerey
2022	J	`jnl`	Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations. CoRR Maximilian Müller, Robin Greif, Frank Jenko, Nils Thuerey
2022	A*	`conf`	Scale-invariant Learning by Physics Inversion. NeurIPS Philipp Holl, Vladlen Koltun, Nils Thuerey
2022	J	`jnl`	Simulating Liquids with Graph Networks. CoRR Jonathan Klimesch, Philipp Holl, Nils Thuerey
2022	A*	`conf`	TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates. CVPR You Xie, Huiqi Mao, Angela Yao, Nils Thuerey
2022	J	`jnl`	TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates. CoRR You Xie, Huiqi Mao, Angela Yao, Nils Thuerey
2022	A*	`conf`	ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-On. NeurIPS Igor Santesteban, Miguel A. Otaduy, Nils Thuerey, Dan Casas
2022	—	`conf`	Visualizing Optimizers using Chebyshev Proxies and Fatou Sets. VMV Rene Winchenbach, Nils Thuerey
2022	J	`jnl`	Wavelet-based Loss for High-frequency Interface Dynamics. CoRR Lukas Prantl, Jan Bender, Tassilo Kugelstadt, Nils Thuerey
2022	J	`jnl`	WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models. CoRR Sagar Garg, Stephan Rasp, Nils Thuerey
2021	A*	`conf`	Global Transport for Fluid Reconstruction With Learned Self-Supervision. CVPR Aleksandra Franz, Barbara Solenthaler, Nils Thuerey
2021	J	`jnl`	Global Transport for Fluid Reconstruction with Learned Self-Supervision. CoRR Aleksandra Franz, Barbara Solenthaler, Nils Thuerey
2021	J	`jnl`	Implicit Density Projection for Volume Conserving Liquids. IEEE Trans. Vis. Comput. Graph. Tassilo Kugelstadt, Andreas Longva, Nils Thuerey, Jan Bender
2021	J	`jnl`	Learning meaningful controls for fluids. ACM Trans. Graph. Mengyu Chu, Nils Thuerey, Hans-Peter Seidel, Christian Theobalt, Rhaleb Zayer
2021	A*	`conf`	Neural Scene Graphs for Dynamic Scenes. CVPR Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, Felix Heide
2021	J	`jnl`	Physical Gradients for Deep Learning. CoRR Philipp Holl, Vladlen Koltun, Nils Thuerey
2021	J	`jnl`	Physics-based Deep Learning. CoRR Nils Thuerey, Philipp Holl, Maximilian Müller, Patrick Schnell, Felix Trost, Kiwon Um
2021	A*	`conf`	Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On. CVPR Igor Santesteban, Nils Thuerey, Miguel A. Otaduy, Dan Casas
2021	J	`jnl`	Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On. CoRR Igor Santesteban, Nils Thuerey, Miguel A. Otaduy, Dan Casas
2021	J	`jnl`	Spot the Difference: Accuracy of Numerical Simulations via the Human Visual System. ACM Trans. Appl. Percept. Kiwon Um, Xiangyu Hu, Bing Wang, Nils Thuerey
2021	J	`jnl`	Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils. CoRR Li-Wei Chen, Nils Thuerey
2021	—	`conf`	Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities. IPMI Suprosanna Shit, Dhritiman Das, Ivan Ezhov, Johannes C. Paetzold, Augusto Fava-Sanches, Nils Thuerey, Bjoern H. Menze
2021	J	`jnl`	Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution. IEEE Trans. Vis. Comput. Graph. Sebastian Weiss, Mengyu Chu, Nils Thuerey, Rüdiger Westermann
2020	J	`jnl`	A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks. CoRR Hao Ma, Xiangyu Hu, Yuxuan Zhang, Nils Thuerey, Oskar J. Haidn
2020	A*	`conf`	Correspondence-Free Material Reconstruction using Sparse Surface Constraints. CVPR Sebastian Weiss, Robert Maier, Daniel Cremers, Rüdiger Westermann, Nils Thuerey
2020	J	`jnl`	Data-driven Regularization via Racecar Training for Generalizing Neural Networks. CoRR You Xie, Nils Thuerey
2020	A*	`conf`	Lagrangian Fluid Simulation with Continuous Convolutions. ICLR Benjamin Ummenhofer, Lukas Prantl, Nils Thuerey, Vladlen Koltun
2020	J	`jnl`	Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow. Comput. Graph. Forum Steffen Wiewel, Byungsoo Kim, Vinicius C. Azevedo, Barbara Solenthaler, Nils Thuerey
2020	J	`jnl`	Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow. CoRR Steffen Wiewel, Byungsoo Kim, Vinicius C. Azevedo, Barbara Solenthaler, Nils Thuerey
2020	A*	`conf`	Learning Similarity Metrics for Numerical Simulations. ICML Georg Kohl, Kiwon Um, Nils Thuerey
2020	J	`jnl`	Learning Similarity Metrics for Numerical Simulations. CoRR Georg Kohl, Kiwon Um, Nils Thuerey
2020	J	`jnl`	Learning temporal coherence via self-supervision for GAN-based video generation. ACM Trans. Graph. Mengyu Chu, You Xie, Jonas Mayer, Laura Leal-Taixé, Nils Thuerey
2020	A*	`conf`	Learning to Control PDEs with Differentiable Physics. ICLR Philipp Holl, Nils Thuerey, Vladlen Koltun
2020	J	`jnl`	Learning to Control PDEs with Differentiable Physics. CoRR Philipp Holl, Vladlen Koltun, Nils Thuerey
2020	J	`jnl`	Neural Scene Graphs for Dynamic Scenes. CoRR Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, Felix Heide
2020	J	`jnl`	Perceptual Evaluation of Liquid Simulation Methods. CoRR Kiwon Um, Xiangyu Hu, Nils Thuerey
2020	J	`jnl`	ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Computer Animation and Machine Learning. CoRR Marie-Lena Eckert, Kiwon Um, Nils Thuerey
2020	J	`jnl`	Simulating Liquids on Dynamically Warping Grids. IEEE Trans. Vis. Comput. Graph. Hikaru Ibayashi, Chris Wojtan, Nils Thuerey, Takeo Igarashi, Ryoichi Ando
2020	A*	`conf`	Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers. NeurIPS Kiwon Um, Robert Brand, Yun (Raymond) Fei, Philipp Holl, Nils Thuerey
2020	J	`jnl`	Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers. CoRR Kiwon Um, Yun (Raymond) Fei, Philipp Holl, Robert Brand, Nils Thuerey
2020	A*	`conf`	Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds. ICLR Lukas Prantl, Nuttapong Chentanez, Stefan Jeschke, Nils Thuerey
2019	J	`jnl`	A Multi-Pass GAN for Fluid Flow Super-Resolution. CoRR Maximilian Werhahn, You Xie, Mengyu Chu, Nils Thuerey
2019	J	`jnl`	A Multi-Pass GAN for Fluid Flow Super-Resolution. Proc. ACM Comput. Graph. Interact. Tech. Maximilian Werhahn, You Xie, Mengyu Chu, Nils Thuerey
2019	—	`conf`	CreativeAI: deep learning for graphics. SIGGRAPH Courses Niloy J. Mitra, Iasonas Kokkinos, Paul Guerrero, Nils Thuerey, Vladimir G. Kim, Leonidas J. Guibas
2019	J	`jnl`	Deep Fluids: A Generative Network for Parameterized Fluid Simulations. Comput. Graph. Forum Byungsoo Kim, Vinicius C. Azevedo, Nils Thuerey, Theodore Kim, Markus H. Gross, Barbara Solenthaler
2019	—	`conf`	Generating Liquid Simulations with Deformation-aware Neural Networks. ICLR (Poster) Lukas Prantl, Boris Bonev, Nils Thuerey
2019	J	`jnl`	ScalarFlow: a large-scale volumetric data set of real-world scalar transport flows for computer animation and machine learning. ACM Trans. Graph. Marie-Lena Eckert, Kiwon Um, Nils Thuerey
2019	J	`jnl`	Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction. CoRR Sebastian Weiss, Robert Maier, Rüdiger Westermann, Daniel Cremers, Nils Thuerey
2019	J	`jnl`	Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds. CoRR Lukas Prantl, Nuttapong Chentanez, Stefan Jeschke, Nils Thuerey
2019	J	`jnl`	Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution. CoRR Sebastian Weiss, Mengyu Chu, Nils Thuerey, Rüdiger Westermann
2018	J	`jnl`	Coupled Fluid Density and Motion from Single Views. CoRR Marie-Lena Eckert, Wolfgang Heidrich, Nils Thuerey
2018	J	`jnl`	Deep Fluids: A Generative Network for Parameterized Fluid Simulations. CoRR Byungsoo Kim, Vinicius C. Azevedo, Nils Thuerey, Theodore Kim, Markus H. Gross, Barbara Solenthaler
2018	J	`jnl`	Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow. CoRR Steffen Wiewel, Moritz Becher, Nils Thuerey
2018	J	`jnl`	Liquid Splash Modeling with Neural Networks. Comput. Graph. Forum Kiwon Um, Xiangyu Hu, Nils Thuerey
2018	J	`jnl`	Temporally Coherent GANs for Video Super-Resolution (TecoGAN). CoRR Mengyu Chu, You Xie, Laura Leal-Taixé, Nils Thuerey
2018	J	`jnl`	Visual Simulation of Multiple Fluids in Computer Graphics: A State-of-the-Art Report. J. Comput. Sci. Technol. Bo Ren, Xu-Yun Yang, Ming C. Lin, Nils Thuerey, Matthias Teschner, Chen-Feng Li
2018	J	`jnl`	Well, how accurate is it? A Study of Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations. CoRR Nils Thuerey, Konstantin Weissenow, Harshit Mehrotra, Nischal Mainali, Lukas Prantl, Xiangyu Hu
2018	J	`jnl`	tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow. CoRR You Xie, Aleksandra Franz, Mengyu Chu, Nils Thuerey
2018	J	`jnl`	tempoGAN: a temporally coherent, volumetric GAN for super-resolution fluid flow. ACM Trans. Graph. You Xie, Aleksandra Franz, Mengyu Chu, Nils Thuerey
2017	J	`jnl`	Data-Driven Synthesis of Smoke Flows with CNN-based Feature Descriptors. CoRR Mengyu Chu, Nils Thuerey
2017	J	`jnl`	Data-driven synthesis of smoke flows with CNN-based feature descriptors. ACM Trans. Graph. Mengyu Chu, Nils Thuerey
2017	—	`conf`	Hierarchical vorticity skeletons. Symposium on Computer Animation Sebastian Eberhardt, Steffen Weißmann, Ulrich Pinkall, Nils Thuerey
2017	J	`jnl`	Interpolations of Smoke and Liquid Simulations. ACM Trans. Graph. Nils Thuerey
2017	J	`jnl`	Liquid Splash Modeling with Neural Networks. CoRR Kiwon Um, Xiangyu Hu, Nils Thuerey
2017	J	`jnl`	Perceptual evaluation of liquid simulation methods. ACM Trans. Graph. Kiwon Um, Xiangyu Hu, Nils Thuerey
2017	J	`jnl`	Pre-computed Liquid Spaces with Generative Neural Networks and Optical Flow. CoRR Boris Bonev, Lukas Prantl, Nils Thuerey
2017	J	`jnl`	Robust eXtended finite elements for complex cutting of deformables. ACM Trans. Graph. Dan Koschier, Jan Bender, Nils Thuerey
2016	J	`jnl`	Dispersion kernels for water wave simulation. ACM Trans. Graph. José A. Canabal, David Miraut, Nils Thuerey, Theodore Kim, Javier Portilla, Miguel A. Otaduy
2016	J	`jnl`	Example-based plastic deformation of rigid bodies. ACM Trans. Graph. Ben Jones, Nils Thuerey, Tamar Shinar, Adam W. Bargteil
2016	J	`jnl`	Interpolations of Smoke and Liquid Simulations. CoRR Nils Thuerey
2016	J	`jnl`	Narrow Band FLIP for Liquid Simulations. Comput. Graph. Forum Florian Ferstl, Ryoichi Ando, Chris Wojtan, Rüdiger Westermann, Nils Thuerey
2016	J	`jnl`	SMASH: Data-driven Reconstruction of Physically Valid Collisions. CoRR Áron Monszpart, Nils Thuerey, Niloy J. Mitra
2016	J	`jnl`	SMASH: physics-guided reconstruction of collisions from videos. ACM Trans. Graph. Áron Monszpart, Nils Thuerey, Niloy J. Mitra
2015	J	`jnl`	A stream function solver for liquid simulations. ACM Trans. Graph. Ryoichi Ando, Nils Thuerey, Chris Wojtan
2015	J	`jnl`	Surface turbulence for particle-based liquid simulations. ACM Trans. Graph. Olivier Mercier, Cynthia Beauchemin, Nils Thuerey, Theodore Kim, Derek Nowrouzezahrai
2013	—	`conf`	Turbulent fluids. SIGGRAPH Courses Nils Thuerey, Theodore Kim, Tobias Pfaff
2008	—	`conf`	The ETH game programming laboratory: a capstone for computer science and visual computing. GDCSE Robert W. Sumner, Nils Thuerey, Markus H. Gross
2007	—	`conf`	Magic Fluid Control. SIGGRAPH Computer Animation Festival Nils Thuerey