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My Asilomar 2020 Schedule

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MO1-7: Architectures for Machine Learning

Session Type: Virtual
Time: Monday, November 2, 10:00 - 11:20
Location: Room 7
Session Chair: Liesbet Van der Perre, KU Leuven
 
  MO1-7-1: LOW-COMPLEXITY NEURAL NETWORK-BASED MIMO DETECTOR USING PERMUTED DIAGONAL MATRIX
         Siyu Liao; Rutgers University
         Chunhua Deng; Rutgers University
         Yi Xie; Rutgers University
         Lingjia Liu; Virginia Tech
         Bo Yuan; Rutgers University
 
  MO1-7-2: FPGA IMPLEMENTATION OF Q-RTS FOR REAL-TIME SWARM INTELLIGENCE SYSTEMS
         Gian Carlo Cardarilli; University of Rome Tor Vergata
         Luca Di Nunzio; University of Rome Tor Vergata
         Rocco Fazzolari; University of Rome Tor Vergata
         Daniele Giardino; University of Rome Tor Vergata
         Marco Matta; University of Rome Tor Vergata
         Alberto Nannarelli; Technical University of Denmark
         Marco Re; University of Rome Tor Vergata
         Sergio Spanò; University of Rome Tor Vergata
 
  MO1-7-3: VLSI HARDWARE ARCHITECTURE FOR GAUSSIAN PROCESS
         Chunhua Deng; Rutgers University
         Yongbin Gong; Rutgers University
         Feng Han; Rutgers University
         Siyu Liao; Rutgers University
         Jingang Yi; Rutgers University
         Bo Yuan; Rutgers University
 
  MO1-7-4: A NEURAL NETWORK ENGINE FOR RESOURCE CONSTRAINED EMBEDDED SYSTEMS
         Zuzana Jelčicová; Demant A/S; Technical University of Denmark (DTU)
         Adrian Mardari; Demant A/S
         Oskar Andersson; Demant A/S
         Evangelia Kasapaki; Demant A/S
         Jens Sparsø; Technical University of Denmark (DTU)