SPTM-4.3
UNROLLING PARTICLES: UNSUPERVISED LEARNING OF SAMPLING DISTRIBUTIONS
Fernando Gama, Nicolas Zilberstein, Richard Baraniuk, Santiago Segarra, Rice University, United States of America
Session:
Bayesian Signal Processing
Track:
Signal Processing Theory and Methods
Location:
Gather Area M
Presentation Time:
Sun, 8 May, 23:00 - 23:45 China Time (UTC +8)
Sun, 8 May, 15:00 - 15:45 UTC
Sun, 8 May, 15:00 - 15:45 UTC
Session Chair:
Wee Peng Tay, Nanyang Technological University
Session SPTM-4
SPTM-4.1: DISTRIBUTED PARTICLE FILTERS FOR STATE TRACKING ON THE STIEFEL MANIFOLD USING TANGENT SPACE STATISTICS
Claudio Bordin, Universidade Federal do ABC, Brazil; Caio de Figueredo, Escola Naval, Brazil; Marcelo Bruno, Instituto Tecnologico de Aeronautica, Brazil
SPTM-4.2: Human Decision Making with Bounded Rationality
Baocheng Geng, University of Alabama at Birmingham, United States of America; Qunwei Li, Ant Group, China; Pramod Varshney, Syracuse University, United States of America
SPTM-4.3: UNROLLING PARTICLES: UNSUPERVISED LEARNING OF SAMPLING DISTRIBUTIONS
Fernando Gama, Nicolas Zilberstein, Richard Baraniuk, Santiago Segarra, Rice University, United States of America
SPTM-4.4: Scalable Data Association and Multi-target Tracking under a Poisson Mixture Measurement Process
Qing Li, Jiaming Liang, Simon Godsill, University of Cambridge, United Kingdom of Great Britain and Northern Ireland
SPTM-4.5: ONLINE LEARNING FOR LATENT YULE-SIMON PROCESSES
Asher Hensley, Petar Djuric, Stony Brook University, United States of America