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:20260805T205600Z
LOCATION:Room 403  B
DTSTART;TZID=America/Los_Angeles:20260721T093000
DTEND;TZID=America/Los_Angeles:20260721T094000
UID:siggraph_SIGGRAPH 2026_sess112_papers_263@linklings.com
SUMMARY:Neural Particle Automata: Learning Self-Organizing Particle Dynami
 cs
DESCRIPTION:Ehsan Pajouheshgar (EPFL), Hyunsoo Kim (Korea Advanced Institu
 te of Science and Technology (KAIST)), Sabine Süsstrunk and Wenzel Jakob (
 EPFL), and Jinah Park (Korea Advanced Institute of Science and Technology 
 (KAIST))\n\nNeural Particle Automata extend Neural Cellular Automata from 
 fixed grids to dynamic particles. Each particle carries a continuous posit
 ion and internal state, updated by a shared neural rule with SPH-based loc
 al perception. Backed by optimized CUDA kernels, NPA learn scalable self-o
 rganizing dynamics for morphogenesis, particle texture synthesis, and poin
 t-cloud classification.\n\nInterest Area: Research & Education\n\nKeyword:
  Artificial Intelligence/Machine Learning, Geometry, Modeling, Rendering, 
 Robotics\n\nRegistration Category: Full Conference Supporter, Full Confere
 nce\n\nSession Chair: Qixing Huang (University of Texas Austin)\n\n
END:VEVENT
END:VCALENDAR