Technical Program

G.4: Group Testing and Sparse Codes

Session Type: Lecture
Track: Graphs, Games, Sparsity, and Signal Processing
Virtual Session: View on Virtual Platform
Session Chair: Ayfer Özgür, Stanford University
 
G.4.1: Improved non-adaptive algorithms for threshold group testing with a gap
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         Thach V. Bui; University of Science, VNU-HCMC, Ho Chi Minh City, Vietnam
         Mahdi Cheraghchi; University of Michigan, Ann Arbor, MI, USA
         Isao Echizen; National Institute of Informatics; The University of Tokyo, Tokyo, Japan
 
G.4.2: Near-Optimal Sparse Adaptive Group Testing
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         Nelvin Tan; National University of Singapore
         Jonathan Scarlett; National University of Singapore
 
G.4.3: Fast Compressive Large-Scale Matrix-Matrix Multiplication Using Product Codes
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         Orhan Ocal; University of California at Berkeley
         Kannan Ramchandran; University of California at Berkeley
 
G.4.4: Modulated Sparse Regression Codes
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         Kuan Hsieh; University of Cambridge
         Ramji Venkataramanan; University of Cambridge
 

Plan Ahead

IEEE ISIT 2021

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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