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BEGIN:VEVENT
DTSTAMP:20250522T212739Z
LOCATION:Bluebird Ballroom
DTSTART;TZID=America/Denver:20240728T180000
DTEND;TZID=America/Denver:20240728T204500
UID:siggraph_SIGGRAPH 2024_sess211_papers_175@linklings.com
SUMMARY:Neural Control Variates With Automatic Integration
DESCRIPTION:Zilu Li (Cornell University), Guandao Yang and Qingqing Zhao (
 Stanford University), Xi Deng (Cornell University), Leonidas Guibas (Stanf
 ord University), Bharath Hariharan (Cornell University), and Gordon Wetzst
 ein (Stanford University)\n\nWe present a method that uses arbitrary neura
 l network architectures as control variates with automatic differentiation
  to improve Monte Carlo methods. Our approach creates unbiased, low-varian
 ce, and numerically stable Monte Carlo estimators for various problem setu
 ps. We demonstrate our method's advantages in solving Laplace and Poisson 
 equations using Walk-on-Sphere.\n\nInterest Area: Arts & Design, Productio
 n & Animation, Research & Education\n\nRecording: Livestreamed, Recorded\n
 \nRegistration Category: Full Conference, Full Conference Supporter, Virtu
 al Access, Experience, Exhibitor Full Conference, Exhibitor Experience, Su
 nday\n\n
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