Technical Program

Session Detail

Session Title WE2.R1: Deep Learning for Compression
Session Time Wednesday, 10 July, 11:40 - 13:20
Location Le Théatre (Parterre), Level -1
Session ChairsAaron Wagner, Cornell University and Lav Varshney, University of Illinois, Urbana-Champaign

WE2.R1.1: Learned Data Compression
         Johannes Ballé; Google

WE2.R1.2: Bio-inspired problems in rate-distortion theory
         Sarah Marzen; Massachusetts Institute of Technology

WE2.R1.3: Compressed sensing and generative models
         Eric Price; University of Texas at Austin

WE2.R1.4: Deepcode: Feedback Codes via Deep Learning
         Hyeji Kim; Samsung AI Research Cambridge

WE2.R1.5: Panel Discussion: Deep Learning for Compression
         Aaron B. Wagner; Cornell University
         Lav Varshney; University of Illinois at Urbana-Champaign