Tobias Pfaff

Google Veo

The GenMedia Veo team
Blog

• Blog [WWW]

Learning rigid-body simulators over implicit shapes for large-scale scenes and vision

Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey Allen, William Whitney, Kim Stachenfeld, Tobias Pfaff
Arxiv

• Paper [Arxiv]
• Videos [WWW]

Learning 3D Particle-based Simulators from RGB-D Videos

William Whitney*, Tatiana Lopez-Guevara*, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kim Stachenfeld, Kelsey Allen
ICLR 2024

• Paper [Arxiv]
• Videos [WWW]

Learning rigid dynamics with face interaction graph networks

Kelsey Allen*, Yulia Rubanova*, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter Battaglia, Tobias Pfaff
ICLR 2023

• Paper [Arxiv]
• Videos [WWW]

Physical Design using Differentiable Learned Simulators

Kelsey Allen* & Tatiana Lopez Guevara* & Kim Stachenfeld*, Alvaro Sanchez-Gonzalez, Jessica Hamrick, Tobias Pfaff
NeurIPS 2022

• Paper [Arxiv]
• Videos & Talk [WWW]

Graph network simulators can learn discontinuous, rigid contact dynamics

Kelsey Allen, Tatiana Lopez Guevara, Yulia Rubanova, Kim Stachenfeld, Alvaro Sanchez-Gonzalez, Peter Battaglia, Tobias Pfaff
CoRL 2022

• Paper [PDF]

Multiscale MeshGraphNets

Meire Fortunato* & Tobias Pfaff*, Peter Wirnsberger, Alexander Pritzel, Peter Battaglia
ICML 2022 AI4Science Workshop

• Paper [Arxiv]

Constraint-based graph network simulator

Yulia Rubanova* & Alvaro Sanchez-Gonzalez*, Tobias Pfaff, Peter Battaglia
ICML 2022

• Paper [Arxiv]
• Videos [WWW]

Learned Coarse Models for Efficient Turbulence Simulation

Kim Stachenfeld, Drummond Fielding, Dmitrii Kochkov, Miles Cranmer, Tobias Pfaff, Jonathan Godwin, Can Cui, Shirely Ho, Peter Battaglia, Alvaro Sanchez-Gonzalez
ICLR 2022

• Paper [Arxiv]
• Videos [WWW]

Predicting Physics in Mesh-reduced Space with Temporal Attention

Xu Han* & Han Gao* & Tobias Pfaff, Jian-Xun Wang, Li-Ping Liu
ICLR 2022

• Paper [Arxiv]

Learning Mesh-Based Simulation with Graph Networks

Tobias Pfaff* & Meire Fortunato* & Alvaro Sanchez-Gonzalez*, Peter Battaglia
ICLR 2021 (Outstanding paper award)

• Paper [Arxiv]
• Videos & Talk [WWW]
• Code & Dataset [WWW]

Learning to Simulate Complex Physics with Graph Networks

Alvaro Sanchez-Gonzalez* & Jonathan Godwin* & Tobias Pfaff* & Rex Ying*, Jure Leskovec, Peter Battaglia
ICML 2020

• Paper [Arxiv]
• Videos [WWW]
• Code & Dataset [WWW]

Combining Q-Learning and Search with Amortized Value Estimates

Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Théophane Weber, Lars Buesing, Peter Battaglia
ICLR 2020

• Paper [Arxiv]

Grandmaster level in StarCraft II using multi-agent reinforcement learning

The AlphaStar team
Nature, 2019

• Paper [Nature][Preprint]
• Project Page [WWW]
• AlphaStar Blog [WWW]
• Replays [WWW]

One-shot high-fidelity imitation: Training large-scale deep nets with RL

Tom Le Paine* & Sergio Gómez Colmenarejo*, Ziyu Wang, Scott Reed, Yusuf Aytar, Tobias Pfaff, Matt Hoffman, Gabriel Barth-Maron, Serkan Cabi, David Budden, Nando de Freitas
Arxiv, 2018

• Paper [Arxiv]
• Video [Vimeo]

Playing hard exploration games by watching YouTube

Yusuf Aytar* & Tobias Pfaff*, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas
NeurIPS 2018 (Spotlight paper)

• Paper [Arxiv]
• Video [Youtube]

Adaptive Tearing and Cracking of Thin Sheets

Tobias Pfaff, Rahul Narain, Juan de Joya, James O’Brien
ACM SIGGRAPH 2014

• Paper [PDF]
• Video [Youtube]
• Cite [BIB]
• Project Page [WWW]

Folding and Crumpling Adaptive Sheets

Rahul Narain, Tobias Pfaff, James O’Brien
ACM SIGGRAPH 2013

• Paper [PDF]
• Video [Youtube]
• Cite [BIB]
• Project Page [WWW]

Lagrangian Vortex Sheets for Fluid Animation

Tobias Pfaff, Nils Thürey, Markus Gross
ACM SIGGRAPH 2012

• Paper [PDF]
• Video [Youtube]
• Cite [BIB]
• Project Page [WWW]

Scalable Fluid Simulation using Anisotropic Turbulence Particles

Tobias Pfaff, Nils Thürey, Jonathan Cohen, Sarah Tariq, Markus Gross
ACM SIGGRAPH Asia 2010

• Paper [PDF]
• Video [Youtube]
• Cite [BIB]
• Project Page [WWW]

Synthetic Turbulence using Artificial Boundary Layers

Tobias Pfaff, Nils Thürey, Andrew Selle, Markus Gross
ACM SIGGRAPH Asia 2009

• Paper [PDF]
• Video [Youtube]

Field-scale apparent hydraulic parameterisation obtained
from TDR time series and inverse modelling

Ute Wollschläger, Tobias Pfaff, Kurt Roth
Hydrology and Earth System Sciences, 2009

• Paper [PDF]
• Project Page [WWW]

Detail Enhancement for Fluid Simulation using Turbulence Modeling

Ph.D. Thesis
CS Department, ETH Zurich, October 2012
Referents: Markus Gross, Nils Thürey, Ronald Peikert, James O'Brien

• Full Thesis [PDF]

Monitoring and Analysis of Transport Processes with ERT

Diploma (M.Sc.) Thesis
Institute for Environmental Physics, Heidelberg, October 2007
Referents: Kurt Roth, Peter Nielaba, Wolfgang Dieterich
Don't panic: while the title and abstract are in German, the actual thesis is in English

• Full Thesis [PDF]