Ekaterina Khramtsova

Convolutional Persistence as a Remedy to Neural Model Analysis

While deep neural networks are proven to be effective learning systems, their analysis is complex due to the high-dimensionality of their weight space. Persistent topological properties can be used as an additional descriptor, providing insights on how the network weights evolve during training. In…