Synergy, redundancy and unique information

  • Johannes Rauh (Max Planck Institute for Mathematics in the Sciences)
E1 05 (Leibniz-Saal)


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.


Valeria Hünniger

Max-Planck-Institut für Mathematik in den Naturwissenschaften Contact via Mail

Guido Montúfar

Max Planck Institute for Mathematics in the Sciences