Synthetic turbulence using artificial boundary layers. - Tobias Pfaff; Nils Thürey; Andrew Selle; Markus H. Gross (ACM Trans. Graph., 2009)

Scalable fluid simulation using anisotropic turbulence particles. - Tobias Pfaff; Nils Thürey; Jonathan M. Cohen; Sarah Tariq; Markus H. Gross (ACM Trans. Graph., 2010)

Lagrangian vortex sheets for animating fluids. - Tobias Pfaff; Nils Thürey; Markus H. Gross (ACM Trans. Graph., 2012)

Folding and crumpling adaptive sheets. - Rahul Narain; Tobias Pfaff; James F. O'Brien (ACM Trans. Graph., 2013)

Turbulent Fluids. - Tobias Pfaff; Theodore Kim; Nils Thürey (Eurographics (Tutorials), 2014)

Adaptive tearing and cracking of thin sheets. - Tobias Pfaff; Rahul Narain; Juan Miguel de Joya; James F. O'Brien (ACM Trans. Graph., 2014)

Playing hard exploration games by watching YouTube. - Yusuf Aytar; Tobias Pfaff; David Budden; Tom Le Paine; Ziyu Wang 001; Nando de Freitas (NeurIPS, 2018)

One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL. - Tom Le Paine; Sergio Gomez Colmenarejo; Ziyu Wang 001; Scott E. Reed; Yusuf Aytar; Tobias Pfaff; Matthew W. Hoffman; Gabriel Barth-Maron; Serkan Cabi; David Budden; Nando de Freitas (CoRR, 2018)

Grandmaster level in StarCraft II using multi-agent reinforcement learning. - Oriol Vinyals; Igor Babuschkin; Wojciech M. Czarnecki; Michaël Mathieu; Andrew Dudzik; Junyoung Chung; David H. Choi; Richard Powell; Timo Ewalds; Petko Georgiev; Junhyuk Oh; Dan Horgan; et al. (Nat., 2019)

Combining Q-Learning and Search with Amortized Value Estimates. - Jessica B. Hamrick; Victor Bapst; Alvaro Sanchez-Gonzalez; Tobias Pfaff; Theophane Weber; Lars Buesing; Peter W. Battaglia (ICLR, 2020)

Learning to Simulate Complex Physics with Graph Networks. - Alvaro Sanchez-Gonzalez; Jonathan Godwin; Tobias Pfaff; Rex Ying; Jure Leskovec; Peter W. Battaglia (ICML, 2020)

Learning Mesh-Based Simulation with Graph Networks. - Tobias Pfaff; Meire Fortunato; Alvaro Sanchez-Gonzalez; Peter W. Battaglia (ICLR, 2021)

Learning ground states of quantum Hamiltonians with graph networks. - Dmitrii Kochkov; Tobias Pfaff; Alvaro Sanchez-Gonzalez; Peter W. Battaglia; Bryan K. Clark (CoRR, 2021)

Learned Coarse Models for Efficient Turbulence Simulation. - Kimberly L. Stachenfeld; Drummond B. Fielding; Dmitrii Kochkov; Miles D. Cranmer; Tobias Pfaff; Jonathan Godwin; Can Cui; Shirley Ho; Peter W. Battaglia; Alvaro Sanchez-Gonzalez (CoRR, 2021)

Graph network simulators can learn discontinuous, rigid contact dynamics. - Kelsey R. Allen; Tatiana Lopez-Guevara; Yulia Rubanova; Kimberly L. Stachenfeld; Alvaro Sanchez-Gonzalez; Peter W. Battaglia; Tobias Pfaff (CoRL, 2022)

Predicting Physics in Mesh-reduced Space with Temporal Attention. - Xu Han 012; Han Gao 005; Tobias Pfaff; Jian-Xun Wang 001; Liping Liu 001 (ICLR, 2022)

Learned Simulators for Turbulence. - Kimberly L. Stachenfeld; Drummond Buschman Fielding; Dmitrii Kochkov; Miles D. Cranmer; Tobias Pfaff; Jonathan Godwin; Can Cui; Shirley Ho; Peter W. Battaglia; Alvaro Sanchez-Gonzalez (ICLR, 2022)

Constraint-based graph network simulator. - Yulia Rubanova; Alvaro Sanchez-Gonzalez; Tobias Pfaff; Peter W. Battaglia (ICML, 2022)

Inverse Design for Fluid-Structure Interactions using Graph Network Simulators. - Kelsey R. Allen; Tatiana Lopez-Guevara; Kimberly L. Stachenfeld; Alvaro Sanchez-Gonzalez; Peter W. Battaglia; Jessica B. Hamrick; Tobias Pfaff (NeurIPS, 2022)

Physical Design using Differentiable Learned Simulators. - Kelsey R. Allen; Tatiana Lopez-Guevara; Kimberly L. Stachenfeld; Alvaro Sanchez-Gonzalez; Peter W. Battaglia; Jessica B. Hamrick; Tobias Pfaff (CoRR, 2022)

MultiScale MeshGraphNets. - Meire Fortunato; Tobias Pfaff; Peter Wirnsberger; Alexander Pritzel; Peter W. Battaglia (CoRR, 2022)

Learning rigid dynamics with face interaction graph networks. - Kelsey R. Allen; Yulia Rubanova; Tatiana Lopez-Guevara; William Whitney 001; Alvaro Sanchez-Gonzalez; Peter W. Battaglia; Tobias Pfaff (ICLR, 2023)

Learning 3D Particle-based Simulators from RGB-D Videos. - William F. Whitney; Tatiana Lopez-Guevara; Tobias Pfaff; Yulia Rubanova; Thomas Kipf; Kim Stachenfeld; Kelsey R. Allen (ICLR, 2024)

Learning rigid-body simulators over implicit shapes for large-scale scenes and vision. - Yulia Rubanova; Tatiana Lopez-Guevara; Kelsey R. Allen; Will Whitney; Kimberly L. Stachenfeld; Tobias Pfaff (NeurIPS, 2024)

Scaling Face Interaction Graph Networks to Real World Scenes. - Tatiana Lopez-Guevara; Yulia Rubanova; William F. Whitney; Tobias Pfaff; Kimberly L. Stachenfeld; Kelsey R. Allen (CoRR, 2024)

Motion Prompting: Controlling Video Generation with Motion Trajectories. - Daniel Geng; Charles Herrmann; Junhwa Hur; Forrester Cole; Serena Zhang; Tobias Pfaff; Tatiana Lopez-Guevara; Carl Doersch; Yusuf Aytar; Michael Rubinstein; Chen Sun 002; Oliver Wang; et al. (CoRR, 2024)

A review of graph neural network applications in mechanics-related domains. - Yingxue Zhao; Haoran Li; Haosu Zhou; Hamid Reza Attar; Tobias Pfaff; Nan Li (Artif. Intell. Rev., 2024)

Motion Prompting: Controlling Video Generation with Motion Trajectories. - Daniel Geng; Charles Herrmann; Junhwa Hur; Forrester Cole; Serena Zhang; Tobias Pfaff; Tatiana Lopez-Guevara; Yusuf Aytar; Michael Rubinstein; Chen Sun 002; Oliver Wang; Andrew Owens; et al. (CVPR, 2025)

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

A multi-level graph-based surrogate model for real-time high-fidelity sheet forming simulations. - Haosu Zhou; Yingxue Zhao; Haoran Li; Tobias Pfaff; Nan Li (Adv. Eng. Informatics, 2025)

A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components. - Haoran Li; Yingxue Zhao; Haosu Zhou; Tobias Pfaff; Nan Li (CoRR, 2025)

Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models. - Xuanchi Ren; Yifan Lu; Tianshi Cao; Ruiyuan Gao 003; Shengyu Huang; Amirmojtaba Sabour; Tianchang Shen; Tobias Pfaff; Jay Zhangjie Wu; Runjian Chen; Seung Wook Kim 001; Jun Gao 004; et al. (CoRR, 2025)

Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming. - Yingxue Zhao; Qianyi Chen; Haoran Li; Haosu Zhou; Hamid Reza Attar; Tobias Pfaff; Tailin Wu; Nan Li (CoRR, 2025)