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TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20260417T190157Z
LOCATION:West Building\, Rooms 211-214
DTSTART;TZID=America/Los_Angeles:20250812T142000
DTEND;TZID=America/Los_Angeles:20250812T143000
UID:siggraph_SIGGRAPH 2025_sess103_papers_492@linklings.com
SUMMARY:Stochastic Preconditioning for Neural Field Optimization
DESCRIPTION:Selena Ling (NVIDIA, University of Toronto); Merlin Nimier-Dav
 id (NVIDIA); Alec Jacobson (University of Toronto); and Nicholas Sharp (NV
 IDIA)\n\nStochastic preconditioning adds spatial noise to query locations 
 during neural field optimization; it can be formalized as a stochastic est
 imate for a blur operator. This simple technique eases optimization and si
 gnificantly improves quality for neural fields optimization, matching or o
 utperforming custom-designed policies and coarse-to-fine schemes.\n\nInter
 est Area: Research & Education\n\nRecording: Livestreamed, Not Livestreame
 d, Recorded, Not Recorded\n\nRegistration Category: Full Conference, Virtu
 al Access, Tuesday\n\nSession Chair: Zhao Dong (Meta Reality Labs Research
 )\n\n
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