BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260805T205605Z
LOCATION:Room 403  B
DTSTART;TZID=America/Los_Angeles:20260722T112500
DTEND;TZID=America/Los_Angeles:20260722T113500
UID:siggraph_SIGGRAPH 2026_sess124_papers_830@linklings.com
SUMMARY:Gradient-based Design of Non-Uniform Low-Discrepancy Samples
DESCRIPTION:Xiangyu Li (Brown University), Ege Ciklabakkal (University of 
 Waterloo), Daniel Ritchie (Brown University), and Toshiya Hachisuka (Unive
 rsity of Waterloo)\n\nThis paper introduces a first numerical optimization
  method for approximately generating non-uniform low-discrepancy point set
 s with an arbitrary target distribution. It is based on a new differentiab
 le estimator of non-uniform L2-discrepancy for a given point set.\n\nInter
 est Area: Research & Education\n\nKeyword: Artificial Intelligence/Machine
  Learning, Geometry, Modeling, Rendering\n\nRegistration Category: Full Co
 nference Supporter, Full Conference\n\nSession Chair: Scott Schaefer (Texa
 s A&M University)\n\n
END:VEVENT
END:VCALENDAR