Login Paper Search My Schedule Paper Index Help

My ICASSP 2020 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)
Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2020 Open Preview.

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

FR1.I: AMP and other Approximate Bayesian Inference Techniques

Session Type: Lecture
Time: Friday, 8 May, 08:00 - 10:00
Location: On-Demand
Session Chair: Dirk Slock, EURECOM
 
   FR1.I.1: JOINT FREQUENCY DOMAIN CHANNEL ESTIMATION AND EQUALIZATION BASED ON EXPECTATION PROPAGATION FOR SINGLE CARRIER TRANSMISSIONS
         Serdar ┼×ahin; Thales
         Antonio Maria Cipriano; Thales
         Charly Poulliat; Toulouse INP - IRIT
         Marie-Laure Boucheret; Toulouse INP - IRIT
 
   FR1.I.2: BP-VB-EP BASED STATIC AND DYNAMIC SPARSE BAYESIAN LEARNING WITH KRONECKER STRUCTURED DICTIONARIES
         Christo Kurisummoottil Thomas; EURECOM
         Dirk Slock; EURECOM
 
   FR1.I.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
 
   FR1.I.4: A SIMPLE DERIVATION OF AMP AND ITS STATE EVOLUTION VIA FIRST-ORDER CANCELLATION
         Philip Schniter; Ohio State University
 
   FR1.I.5: VAMP WITH VECTOR-VALUED DIAGONALIZATION
         Robert Fischer; Ulm University
         Carmen Sippel; Ulm University
         Norbert Goertz; Technische Universit├Ąt Wien
 
   FR1.I.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