Tobias Pfaff - RankMe

48 papers A* 13Misc 1Journal 32Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Pore-scale Multiphase Flow from 4D Velocimetry. CoRR Chunyang Wang, Linqi Zhu, Yuxuan Gu, Robert van der Merwe, Xin Ju, Catherine Spurin, Samuel Krevor, Rex Ying, Tobias Pfaff, Martin J. Blunt, Tom Bultreys, Gege Wen
2026	J	`jnl`	Recurrent U-Net-based Graph Neural Network (RUGNN) for accurate deformation predictions in sheet material forming. Adv. Eng. Informatics Yingxue Zhao, Qianyi Chen, Haoran Li, Haosu Zhou, Hamid Reza Attar, Tobias Pfaff, Tailin Wu, Nan Li
2025	J	`jnl`	A multi-level graph-based surrogate model for real-time high-fidelity sheet forming simulations. Adv. Eng. Informatics Haosu Zhou, Yingxue Zhao, Haoran Li, Tobias Pfaff, Nan Li
2025	J	`jnl`	A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components. CoRR Haoran Li, Yingxue Zhao, Haosu Zhou, Tobias Pfaff, Nan Li
2025	J	`jnl`	A review of learning-based dynamics models for robotic manipulation. Sci. Robotics Bo Ai, Stephen Tian, Haochen Shi, Yixuan Wang, Tobias Pfaff, Cheston Tan, Henrik I. Christensen, Hao Su, Jiajun Wu, Yunzhu Li
2025	J	`jnl`	Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models. CoRR 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
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	A*	`conf`	Motion Prompting: Controlling Video Generation with Motion Trajectories. CVPR 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
2025	J	`jnl`	Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming. CoRR Yingxue Zhao, Qianyi Chen, Haoran Li, Haosu Zhou, Hamid Reza Attar, Tobias Pfaff, Tailin Wu, Nan Li
2024	J	`jnl`	A review of graph neural network applications in mechanics-related domains. Artif. Intell. Rev. Yingxue Zhao, Haoran Li, Haosu Zhou, Hamid Reza Attar, Tobias Pfaff, Nan Li
2024	J	`jnl`	A review of graph neural network applications in mechanics-related domains. CoRR Yingxue Zhao, Haoran Li, Haosu Zhou, Hamid Reza Attar, Tobias Pfaff, Nan Li
2024	A*	`conf`	Learning 3D Particle-based Simulators from RGB-D Videos. ICLR William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kim Stachenfeld, Kelsey R. Allen
2024	A*	`conf`	Learning rigid-body simulators over implicit shapes for large-scale scenes and vision. NeurIPS Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, Will Whitney, Kimberly L. Stachenfeld, Tobias Pfaff
2024	J	`jnl`	Learning rigid-body simulators over implicit shapes for large-scale scenes and vision. CoRR Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, William F. Whitney, Kimberly L. Stachenfeld, Tobias Pfaff
2024	J	`jnl`	Motion Prompting: Controlling Video Generation with Motion Trajectories. CoRR 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
2024	J	`jnl`	Scaling Face Interaction Graph Networks to Real World Scenes. CoRR Tatiana Lopez-Guevara, Yulia Rubanova, William F. Whitney, Tobias Pfaff, Kimberly L. Stachenfeld, Kelsey R. Allen
2023	J	`jnl`	Learning 3D Particle-based Simulators from RGB-D Videos. CoRR William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly L. Stachenfeld, Kelsey R. Allen
2023	A*	`conf`	Learning rigid dynamics with face interaction graph networks. ICLR Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff
2022	A*	`conf`	Constraint-based graph network simulator. ICML Yulia Rubanova, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Peter W. Battaglia
2022	Misc	`conf`	Graph network simulators can learn discontinuous, rigid contact dynamics. CoRL Kelsey R. Allen, Tatiana Lopez-Guevara, Yulia Rubanova, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff
2022	A*	`conf`	Inverse Design for Fluid-Structure Interactions using Graph Network Simulators. NeurIPS Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff
2022	A*	`conf`	Learned Simulators for Turbulence. ICLR 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
2022	J	`jnl`	Learning rigid dynamics with face interaction graph networks. CoRR Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff
2022	J	`jnl`	MultiScale MeshGraphNets. CoRR Meire Fortunato, Tobias Pfaff, Peter Wirnsberger, Alexander Pritzel, Peter W. Battaglia
2022	J	`jnl`	Physical Design using Differentiable Learned Simulators. CoRR Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff
2022	A*	`conf`	Predicting Physics in Mesh-reduced Space with Temporal Attention. ICLR Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Liping Liu
2022	J	`jnl`	Predicting Physics in Mesh-reduced Space with Temporal Attention. CoRR Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Li-Ping Liu
2021	J	`jnl`	Constraint-based graph network simulator. CoRR Yulia Rubanova, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Peter W. Battaglia
2021	J	`jnl`	Learned Coarse Models for Efficient Turbulence Simulation. CoRR 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
2021	A*	`conf`	Learning Mesh-Based Simulation with Graph Networks. ICLR Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, Peter W. Battaglia
2021	J	`jnl`	Learning ground states of quantum Hamiltonians with graph networks. CoRR Dmitrii Kochkov, Tobias Pfaff, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Bryan K. Clark
2020	A*	`conf`	Combining Q-Learning and Search with Amortized Value Estimates. ICLR Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia
2020	J	`jnl`	Learning Mesh-Based Simulation with Graph Networks. CoRR Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, Peter W. Battaglia
2020	A*	`conf`	Learning to Simulate Complex Physics with Graph Networks. ICML Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia
2020	J	`jnl`	Learning to Simulate Complex Physics with Graph Networks. CoRR Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia
2019	J	`jnl`	Combining Q-Learning and Search with Amortized Value Estimates. CoRR Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia
2019	J	`jnl`	Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nat. 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
2018	J	`jnl`	One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL. CoRR 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
2018	A*	`conf`	Playing hard exploration games by watching YouTube. NeurIPS Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas
2018	J	`jnl`	Playing hard exploration games by watching YouTube. CoRR Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas
2014	J	`jnl`	Adaptive tearing and cracking of thin sheets. ACM Trans. Graph. Tobias Pfaff, Rahul Narain, Juan Miguel de Joya, James F. O'Brien
2014	—	`conf`	Turbulent Fluids. Eurographics (Tutorials) Tobias Pfaff, Theodore Kim, Nils Thürey
2013	J	`jnl`	Folding and crumpling adaptive sheets. ACM Trans. Graph. Rahul Narain, Tobias Pfaff, James F. O'Brien
2013	—	`conf`	Turbulent fluids. SIGGRAPH Courses Nils Thuerey, Theodore Kim, Tobias Pfaff
2012	J	`jnl`	Lagrangian vortex sheets for animating fluids. ACM Trans. Graph. Tobias Pfaff, Nils Thürey, Markus H. Gross
2010	J	`jnl`	Scalable fluid simulation using anisotropic turbulence particles. ACM Trans. Graph. Tobias Pfaff, Nils Thürey, Jonathan M. Cohen, Sarah Tariq, Markus H. Gross
2009	J	`jnl`	Synthetic turbulence using artificial boundary layers. ACM Trans. Graph. Tobias Pfaff, Nils Thürey, Andrew Selle, Markus H. Gross