David Hahn

According to our database, David Hahn authored at least 11 papers between 2014 and 2023.

Collaborative distances:

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

2023

Precomputed Radiative Heat Transport for Efficient Thermal Simulation.

Christian Freude, David Hahn, Florian Rist, Lukas Lipp, Michael Wimmer

Comput. Graph. Forum, October, 2023

View-Independent Adjoint Light Tracing for Lighting Design Optimization.

Lukas Lipp, David Hahn, Pierre Ecormier-Nocca, Florian Rist, Michael Wimmer

CoRR, 2023

2022

InnoPulse: a Tool to Support Collaborative Reflection in Creativity-Driven Engineering Projects.

Danielly F. O. de Paula, David Hahn, Christoph Matthies, Falk Uebernickel

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2020

ADD: analytically differentiable dynamics for multi-body systems with frictional contact.

Moritz Geilinger, David Hahn, Jonas Zehnder, Moritz Bächer, Bernhard Thomaszewski, Stelian Coros

ACM Trans. Graph., 2020

2019

Real2Sim: visco-elastic parameter estimation from dynamic motion.

David Hahn, Pol Banzet, James M. Bern, Stelian Coros

ACM Trans. Graph., 2019

Expanding Foam as the Material for Fabrication, Prototyping and Experimental Assessment of Low-Cost Soft Robots With Embedded Sensing.

Luca Somm, David Hahn, Nitish Kumar, Stelian Coros

IEEE Robotics Autom. Lett., 2019

2017

Metacrate: Organize and Analyze Millions of Data Profiles.

Sebastian Kruse, David Hahn, Marius Walter, Felix Naumann

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Fast approximations for boundary element based brittle fracture simulation.

David Hahn, Chris Wojtan

ACM Trans. Graph., 2016

Surface-only liquids.

Fang Da, David Hahn, Christopher Batty, Chris Wojtan, Eitan Grinspun

ACM Trans. Graph., 2016

2015

High-resolution brittle fracture simulation with boundary elements.

David Hahn, Chris Wojtan

ACM Trans. Graph., 2015

2014

Heuristics for multiagent reinforcement learning in decentralized decision problems.

Martin W. Allen, David Hahn, Douglas C. MacFarland

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014