Technical Program

SS_17: Machine Learning for Sequential Monte Carlo Methods

Session Type: Lecture
Time: Tuesday, August 30, 16:20 - 18:00
Location: Adriatic
Session Chair: Yunpeng Li, University of Surrey
 
SS_17.1: A PARTICLE BERNOULLI FILTER BASED ON GAUSSIAN PROCESS LEARNING FOR MANEUVERING TARGET TRACKING
Zheng Hu, Tiancheng Li, Northwestern Polytechnical University, China
 
SS_17.2: CONDITIONAL MEASUREMENT DENSITY ESTIMATION IN SEQUENTIAL MONTE CARLO VIA NORMALIZING FLOW
Xiongjie Chen, Yunpeng Li, University of Surrey, United Kingdom
 
SS_17.3: VISUALLY ASSISTED SELF-SUPERVISED AUDIO SPEAKER LOCALIZATION AND TRACKING
Jinzheng Zhao, Peipei Wu, Shidrokh Goudarzi, Xubo Liu, Jianyuan Sun, Wenwu Wang, University of Surrey, United Kingdom; Yong Xu, Tencent AI Lab, United Kingdom
 
SS_17.4: INFERENCE WITH DEEP GAUSSIAN PROCESS STATE SPACE MODELS
Yuhao Liu, Marzieh Ajirak, Petar M. Djuric, Stony Brook University, United States
 
SS_17.5: PARAMETER ESTIMATION IN SPARSE LINEAR-GAUSSIAN STATE-SPACE MODELS VIA REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO
Benjamin Cox, Victor Elvira, University of Edinburgh, United Kingdom