SS-L24: AMP and other Approximate Bayesian Inference Techniques |
Session Type: Lecture |
Time: Friday, 8 May, 08:00 - 10:00 |
Location: On-Demand |
Virtual Session: View on Virtual Platform |
Session Chair: Dirk Slock, EURECOM |
SS-L24.1: JOINT FREQUENCY DOMAIN CHANNEL ESTIMATION AND EQUALIZATION BASED ON EXPECTATION PROPAGATION FOR SINGLE CARRIER TRANSMISSIONS |
Serdar Şahin; Thales |
Antonio Maria Cipriano; Thales |
Charly Poulliat; Toulouse INP - IRIT |
Marie-Laure Boucheret; Toulouse INP - IRIT |
SS-L24.2: BP-VB-EP BASED STATIC AND DYNAMIC SPARSE BAYESIAN LEARNING WITH KRONECKER STRUCTURED DICTIONARIES |
Christo Kurisummoottil Thomas; EURECOM |
Dirk Slock; EURECOM |
SS-L24.3: ROBUSTNESS OF SPARSE BAYESIAN LEARNING IN CORRELATED ENVIRONMENTS |
Rohan R. Pote; University of California, San Diego |
Bhaskar D. Rao; University of California, San Diego |
SS-L24.4: A SIMPLE DERIVATION OF AMP AND ITS STATE EVOLUTION VIA FIRST-ORDER CANCELLATION |
Philip Schniter; Ohio State University |
SS-L24.5: VAMP WITH VECTOR-VALUED DIAGONALIZATION |
Robert Fischer; Ulm University |
Carmen Sippel; Ulm University |
Norbert Goertz; Technische Universität Wien |
SS-L24.6: DISTRIBUTED VERIFICATION OF BELIEF PRECISIONS CONVERGENCE IN GAUSSIAN BELIEF PROPAGATION |
Bin Li; Beijing Institute of Technology |
Nan Wu; Beijing Institute of Technology |
Yik-Chung Wu; University of Hong Kong |