Frédéric Chazal

Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs

Although neural networks are capable of reaching astonishing performance on a wide variety of contexts, properly training networks on complicated tasks requires expertise and can be expensive from a computational perspective. In industrial applications, data coming from an open-world setting might w…