Technical Program

MLSP-L8: Compressive Sensing, Dictionary and Subspace Learning

Session Type: Lecture
Time: Thursday, May 16, 15:30 - 17:30
Location: Ocean View
Session Chair: Peter Gerstoft, University of California San Diego
 
MLSP-L8.1: FAST COMPRESSIVE SENSING RECOVERY USING GENERATIVE MODELS WITH STRUCTURED LATENT VARIABLES
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Shaojie Xu; Georgia Institute of Technology
         Sihan Zeng; Georgia Institute of Technology
         Justin Romberg; Georgia Institute of Technology
 
MLSP-L8.2: ROBUST DICTIONARY LEARNING USING ALPHA-DIVERGENCE
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Asif Iqbal; The University of Melbourne
         Abd-Krim Seghouane; The University of Melbourne
 
MLSP-L8.3: SIMULTANEOUS BLIND DECONVOLUTION AND PHASE RETRIEVAL WITH TENSOR ITERATIVE HARD THRESHOLDING
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Shuang Li; Colorado School of Mines
         Gongguo Tang; Colorado School of Mines
         Michael Wakin; Colorado School of Mines
 
MLSP-L8.4: FIRMNET: A SPARSITY AMPLIFIED DEEP NETWORK FOR SOLVING LINEAR INVERSE PROBLEMS
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Praveen Kumar Pokala; Indian Institute of Science
         Amol Ganesh Mahurkar; Indian Institute of Science
         Chandra Sekhar Seelamantula; Indian Institute of Science
 
MLSP-L8.5: DEEP SIGNAL RECOVERY WITH ONE-BIT QUANTIZATION
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Shahin Khobahi; University of Illinois at Chicago
         Naveed Naimipour; University of Illinois at Chicago
         Mojtaba Soltanalian; University of Illinois at Chicago
         Yonina C. Eldar; Technion - Israel Institute of Technology
 
MLSP-L8.6: BAYESIAN NEURAL NETWORKS FOR SPARSE CODING
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Danil Kuzin; University of Sheffield
         Olga Isupova; University of Oxford
         Lyudmila Mihaylova; University of Sheffield