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

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.