Sotabase

Career

· Researcher, Google Deepmind2025–
· Research Scientist, NVIDIA Research2025–
· Research Intern, Hewlett Packard Labs2022–
· Research Assistant, Scalable Software Systems at TU Berlin2019–
· Systems Administrator, audibene GmbH2015–

Publications (29)

Grandmaster level in StarCraft II using multi-agent reinforcement learning
Nature · 2019
4,163
cited
Learning to Simulate Complex Physics with Graph Networks
International Conference on Machine Learning · 2020
1,333
cited
Learning Mesh-Based Simulation with Graph Networks
International Conference on Learning Representations · 2020
1,050
cited
Playing hard exploration games by watching YouTube
Neural Information Processing Systems · 2018
281
cited
Folding and crumpling adaptive sheets
ACM Transactions on Graphics · 2013
153
cited
Adaptive tearing and cracking of thin sheets
ACM Transactions on Graphics · 2014
121
cited
Lagrangian vortex sheets for animating fluids
ACM Transactions on Graphics · 2012
105
cited
Predicting Physics in Mesh-reduced Space with Temporal Attention
International Conference on Learning Representations · 2022
103
cited
Motion Prompting: Controlling Video Generation with Motion Trajectories
Computer Vision and Pattern Recognition · 2024
94
cited
Scalable fluid simulation using anisotropic turbulence particles
ACM Transactions on Graphics · 2010
92
cited
Learned Coarse Models for Efficient Turbulence Simulation
arXiv.org · 2021
91
cited
Field-scale apparent hydraulic parameterisation obtained from TDR time series and inverse modelling
2009
54
cited
Learning rigid dynamics with face interaction graph networks
International Conference on Learning Representations · 2022
54
cited
Graph network simulators can learn discontinuous, rigid contact dynamics
Conference on Robot Learning · 2022
51
cited
Physical Design using Differentiable Learned Simulators
arXiv.org · 2022
50
cited
Combining Q-Learning and Search with Amortized Value Estimates
International Conference on Learning Representations · 2019
48
cited
Learned Simulators for Turbulence
International Conference on Learning Representations · 2022
42
cited
Constraint-based graph network simulator
International Conference on Machine Learning · 2021
33
cited
Learning ground states of quantum Hamiltonians with graph networks
arXiv.org · 2021
29
cited
Inverse Design for Fluid-Structure Interactions using Graph Network Simulators
Neural Information Processing Systems · 2022
27
cited
Sotabase
Tobias Pfaff | Researcher Profile | Sotabase | Sotabase