Reduced-Order Modeling for Physical Simulation: From the Classical to the Neural
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Show full item recordAbstract
This workshop aims to explore the evolution of subspace methods
in physical simulation, tracing their origins from classical engineering formulations to cutting-edge neural techniques. By gathering
leading researchers, students, and practitioners, the session will
serve as a platform for cross-disciplinary dialogue, education, and
community building around model reduction techniques in graphics and simulation.
Description
SIGGRAPH Frontiers ’25, Vancouver, BC, Canada
Date issued
2025-08-19Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence LaboratoryPublisher
ACM|Special Interest Group on Computer Graphics and Interactive Techniques Conference
Citation
David IW Levin, Peter Yichen Chen, and Eitan Grinspun. 2025. Reduced-Order Modeling for Physical Simulation: From the Classical to the Neural. In Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Frontiers (SIGGRAPH Frontiers '25). Association for Computing Machinery, New York, NY, USA, Article 15, 1–2.
Version: Final published version
ISBN
979-8-4007-1946-2