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DTSTART:19700308T020000
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DTSTAMP:20260805T205608Z
LOCATION:Room 403  B
DTSTART;TZID=America/Los_Angeles:20260722T140000
DTEND;TZID=America/Los_Angeles:20260722T141000
UID:siggraph_SIGGRAPH 2026_sess184_papers_1138@linklings.com
SUMMARY:Iskra: A System for Inverse Geometry Processing
DESCRIPTION:Ana Dodik, Ahmed Mahmoud, and Justin Solomon (Massachusetts In
 stitute of Technology (MIT))\n\nIskra is a system for differentiating thro
 ugh solutions to geometry processing problems.\nIt differentiates a broad 
 class of algorithms, exploiting existing fast problem-specific schemes com
 mon to geometry processing, including local-global and ADMM solvers. It is
  compatible with machine learning frameworks, opening doors to new classes
  of inverse geometry processing applications.\n\nInterest Area: Research &
  Education\n\nKeyword: Artificial Intelligence/Machine Learning, Geometry,
  Modeling\n\nRegistration Category: Full Conference Supporter, Full Confer
 ence\n\nSession Chair: Nicholas Sharp (NVIDIA)\n\n
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