TU4.R1: Deep Learning in Coding
Tue, 9 Jul, 16:05 - 17:25
Location: Ballroom II & III
Session Chair: Natasha Devroy, University of Illinois Chicago
Track: 8: Deep Learning (such as understanding large language models)
Tue, 9 Jul, 16:05 - 16:25

TU4.R1.1: Section-wise Revolving NBP-like Decoders for QC-LDPC Codes
Qinshan Zhang, Tsinghua University, China; Bin Chen, Harbin Institute of Technology (Shenzhen), China; Tianqu Zhuang, Yong Jiang, Shu-Tao Xia, Tsinghua University, China
Tue, 9 Jul, 16:25 - 16:45

TU4.R1.2: Interpreting Deepcode, a learned feedback code
Yingyao Zhou, Natasha Devroye, Gyorgy Turan, Milos Zefran, University of Illinois at Chicago, United States
Tue, 9 Jul, 16:45 - 17:05

TU4.R1.3: Nested Construction of Polar Codes via Transformers
Sravan Ankireddy, University of Texas at Austin, United States; Ashwin Hebbar, Princeton University, United States; Heping Wan, Joonyoung Cho, Charlie Zhang, Samsung Research America, United States
Tue, 9 Jul, 17:05 - 17:25

TU4.R1.4: Dense KO Codes: Faster Convergence and Reduced Complexity through Dense Connectivity
Shubham Srivastava, Adrish Banerjee, Indian Institute of Technology Kanpur, India