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WE3.I: Bayesian Signal Processing I

Session Type: Poster
Time: Wednesday, 6 May, 16:30 - 18:30
Location: On-Demand
Session Chair: Emilie Chouzenoux, CVN, CentraleSupélec, INRIA Saclay
 
   WE3.I.1: DATA-DRIVEN MODEL SET DESIGN FOR MODEL AVERAGED PARTICLE FILTER
         Bin Liu; Nanjing University of Posts and Telecommunications
 
   WE3.I.2: GRAPHEM: EM ALGORITHM FOR BLIND KALMAN FILTERING UNDER GRAPHICAL SPARSITY CONSTRAINTS
         Emilie Chouzenoux; CVN, CentraleSupélec, INRIA Saclay
         Víctor Elvira; University of Edinburgh
 
   WE3.I.3: ON DESIGN OF OPTIMAL SMART METER PRIVACY CONTROL STRATEGY AGAINST ADVERSARIAL MAP DETECTION
         Ramana Reddy Avula; KTH Royal Institute of Technology
         Tobias Oechtering; KTH Royal Institute of Technology
 
   WE3.I.4: APPROXIMATE INFERENCE BY KULLBACK-LEIBLER TENSOR BELIEF PROPAGATION
         Patrick W.A. Wijnings; Eindhoven University of Technology
         Sander Stuijk; Eindhoven University of Technology
         Bert de Vries; Eindhoven University of Technology
         Henk Corporaal; Eindhoven University of Technology
 
   WE3.I.5: A PARTICLE GIBBS SAMPLING APPROACH TO TOPOLOGY INFERENCE IN GENE REGULATORY NETWORKS
         Marija Iloska; Stony Brook University
         Yousef El-Laham; Stony Brook University
         Mónica F. Bugallo; Stony Brook University
 
   WE3.I.6: PARTICLE FILTER WITH REJECTION CONTROL AND UNBIASED ESTIMATOR OF THE MARGINAL LIKELIHOOD
         Jan Kudlicka; Uppsala University
         Lawrence M. Murray; Uber AI
         Thomas B. Schön; Uppsala University
         Fredrik Lindsten; Linköping University
 
   WE3.I.7: PARTICLE GROUP METROPOLIS METHODS FOR TRACKING THE LEAF AREA INDEX
         Luca Martino; Universidad Rey Juan Carlos
         Víctor Elvira; University of Edinburgh
         Gustau Camps-Valls; Universitat de Valencia
 
   WE3.I.8: UNSUPERVISED VARIATIONAL BAYESIAN KALMAN FILTERING FOR LARGE-DIMENSIONAL GAUSSIAN SYSTEMS
         Boujemaa Ait-El-Fquih; King Abdullah University of Science and Technology (KAUST)
         Thomas Rodet; Ecole Normale Supérieure de Cachan
         Ibrahim Hoteit; King Abdullah University of Science and Technology (KAUST)
 
   WE3.I.9: LEVENBERG-MARQUARDT AND LINE-SEARCH EXTENDED KALMAN SMOOTHERS
         Simo Särkkä; Aalto University
         Lennart Svensson; Chalmers University of Technology
 
   WE3.I.10: LAPLACE STATE SPACE FILTER WITH EXACT INFERENCE AND MOMENT MATCHING
         Julian Neri; McGill University
         Philippe Depalle; McGill University
         Roland Badeau; Telecom Paris
 
   WE3.I.11: PROBABILISTIC FILTER AND SMOOTHER FOR VARIATIONAL INFERENCE OF BAYESIAN LINEAR DYNAMICAL SYSTEMS
         Julian Neri; McGill University
         Roland Badeau; Telecom Paris
         Philippe Depalle; McGill University
 
   WE3.I.12: OPTIMUM KERNEL PARTICLE FILTER FOR ASYMMETRIC LAPLACE NOISE
         Ulrika Andersson; University of Cambridge
         Simon Godsill; University of Cambridge