21-Jan Eren Kizildag MIT
Algorithmic Obstructions in the Random Number Partitioning Problem
04-Feb Dimitris Papailiopoulos University of Wisconsin-Madison
Learning by Pruning and the Hunt for Lottery Tickets
11-Feb Deepanshu Vasal Northwestern University
Sequential linear coding for multi user Gaussian channels with active noisy feedback
18-Feb Pramod Viswanath University of Illinois at Urbana-Champaign
KO Codes
25-Feb Ashish Khisti University of Toronto
Learned Data Compression
04-Mar Haizi Yu University of Chicago
Information Lattice Learning
11-Mar Deniz Gunduz Imperial College London
Semantic vs. Effective Communications
15-Apr David Hong University of Pennsylvania
Balanced group testing via hypergraph factorization for COVID-19
03-Jun Elad Romanov Stanford University
On the Role of Channel Capacity in Learning Gaussian Mixture Models
07-Oct Byron Knoll Google
Extreme Lossless Text Compression
14-Oct Dmitri Pavlichin Amazon
A Deep Dive into the Craft of Building Data Compressors
21-Oct Ilya Grebnov Microsoft
Burrows–Wheeler transform and Compression via Substring Enumeration (CSE)
28-Oct James Townsend University of Amsterdam
Latent Variables and Lossless Compression
04-Nov Jan Skoglund Google
Speech and Audio Compression in the Neural Era
11-Nov Eduardo Pavez University of Southern California
Graph-Based Compression of 3D Point Cloud Attributes
18-Nov George Toederici Google Research
VCT: A Video Compression Transformer
01-Dec Mattan Erez University of Texas at Austin
Every Bit Counts -- Compressed Main Memory Architectures
02-Dec Andrey Norkin Netflix
Video coding your next smartphone will actually use
