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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260417T190156Z
LOCATION:East Building\, Room 11
DTSTART;TZID=America/Los_Angeles:20250813T090000
DTEND;TZID=America/Los_Angeles:20250813T121500
UID:siggraph_SIGGRAPH 2025_sess279_twork_108@linklings.com
SUMMARY:Reduced-Order Modeling for Physical Simulation: From the Classical
  to the Neural
DESCRIPTION:David IW Levin (University of Toronto, NVIDIA); Peter Yichen C
 hen (University of British Columbia); Eitan Grinspun (University of Toront
 o); Maurizio Chiaramonte (Reality Labs Research, Meta); Jernej Barbic (USC
 ); and Mengyu Chu (Peking University)\n\nThis workshop aims to explore the
  evolution of subspace methods in physical simulation, tracing their origi
 ns from classical engineering formulations to cutting-edge neural techniqu
 es. By gathering leading researchers, students, and practitioners, the ses
 sion will serve as a platform for cross-disciplinary dialogue, education, 
 and community building around model reduction techniques in graphics and s
 imulation.\n\nInterest Area: New Technologies, Research & Education\n\nRec
 ording: Not Livestreamed, Not Recorded\n\nKeyword: Animation, Dynamics, Si
 mulation\n\nRegistration Category: Full Conference, Experience\n\n
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