“Reduced-Order Modeling for Physical Simulation: From the Classical to the Neural” by Levin, Chen, Grinspun, Chiaramonte, Barbič, et al. … – ACM SIGGRAPH HISTORY ARCHIVES

“Reduced-Order Modeling for Physical Simulation: From the Classical to the Neural” by Levin, Chen, Grinspun, Chiaramonte, Barbič, et al. …

Conference:


Experience Type(s):


Title:


    Reduced-Order Modeling for Physical Simulation: From the Classical to the Neural



Description:


    SIGGRAPH 2025

    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.

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