Workshop
Synergy, redundancy and unique information
- Johannes Rauh (Max Planck Institute for Mathematics in the Sciences)
Abstract
New information measures are needed to analyze how information is distributed over a complex system (such as a deep neural network). In 2010, Williams and Beer presented the idea of a general information decomposition framework to organize such measures. So far, the framework is missing a generally accepted realization. The talk discusses the current status of the Williams and Beer program.
