Tobias Pfaff

According to our database, Tobias Pfaff authored at least 33 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, July, 2025

Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models.

Xuanchi Ren, Yifan Lu, Tianshi Cao, Ruiyuan Gao, Shengyu Huang, Amirmojtaba Sabour, Tianchang Shen, Tobias Pfaff, Jay Zhangjie Wu, Runjian Chen, Seung Wook Kim, Jun Gao, Laura Leal-Taixé, Mike Chen, Sanja Fidler, Huan Ling

CoRR, June, 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, March, 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

Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks.

Mario Lino Valencia, Tobias Pfaff, Nils Thuerey

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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, Oliver Wang, Andrew Owens, Deqing Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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., November, 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, Oliver Wang, Andrew Owens, Deqing Sun

CoRR, 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

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Learning rigid dynamics with face interaction graph networks.

Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

MultiScale MeshGraphNets.

Meire Fortunato, Tobias Pfaff, Peter Wirnsberger, Alexander Pritzel, Peter W. Battaglia

CoRR, 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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Constraint-based graph network simulator.

Yulia Rubanova, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Peter W. Battaglia

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Predicting Physics in Mesh-reduced Space with Temporal Attention.

Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Liping Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Proceedings of the Conference on Robot Learning, 2022

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

Learning ground states of quantum Hamiltonians with graph networks.

Dmitrii Kochkov, Tobias Pfaff, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Bryan K. Clark

CoRR, 2021

Learning Mesh-Based Simulation with Graph Networks.

Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, Peter W. Battaglia

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Learning to Simulate Complex Physics with Graph Networks.

Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia

Proceedings of the 37th International Conference on Machine Learning, 2020

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

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

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, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P. Agapiou, Max Jaderberg, Alexander Sasha Vezhnevets, Rémi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom Le Paine, Çaglar Gülçehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario Wünsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy P. Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, David Silver

Nat., 2019

2018

One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL.

Tom Le Paine, Sergio Gomez Colmenarejo, Ziyu Wang, Scott E. Reed, Yusuf Aytar, Tobias Pfaff, Matthew W. Hoffman, Gabriel Barth-Maron, Serkan Cabi, David Budden, Nando de Freitas

CoRR, 2018

Playing hard exploration games by watching YouTube.

Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2014

Adaptive tearing and cracking of thin sheets.

Tobias Pfaff, Rahul Narain, Juan Miguel de Joya, James F. O'Brien

ACM Trans. Graph., 2014

Turbulent Fluids.

Tobias Pfaff, Theodore Kim, Nils Thürey

Proceedings of the 35th Annual Conference of the European Association for Computer Graphics, 2014

2013

Folding and crumpling adaptive sheets.

Rahul Narain, Tobias Pfaff, James F. O'Brien

ACM Trans. Graph., 2013

2012

Lagrangian vortex sheets for animating fluids.

Tobias Pfaff, Nils Thürey, Markus H. Gross

ACM Trans. Graph., 2012

2010

Scalable fluid simulation using anisotropic turbulence particles.

Tobias Pfaff, Nils Thürey, Jonathan M. Cohen, Sarah Tariq, Markus H. Gross

ACM Trans. Graph., 2010

2009

Synthetic turbulence using artificial boundary layers.

Tobias Pfaff, Nils Thürey, Andrew Selle, Markus H. Gross

ACM Trans. Graph., 2009