Tunnel Effect in CNNs: Image Reconstruction From Max Switch Locations. - Matthieu de La Roche Saint Andre; Laura Rieger; Morten Hannemose; Junmo Kim 002 (IEEE Signal Process. Lett., 2017)

Aggregating explainability methods for neural networks stabilizes explanations. - Laura Rieger; Lars Kai Hansen (CoRR, 2019)

Interpretability in Intelligent Systems - A New Concept? - Lars Kai Hansen; Laura Rieger (Explainable AI, 2019)

Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge. - Laura Rieger; Chandan Singh; W. James Murdoch; Bin Yu 001 (ICML, 2020)

IROF: a low resource evaluation metric for explanation methods. - Laura Rieger; Lars Kai Hansen (CoRR, 2020)

Client Adaptation improves Federated Learning with Simulated Non-IID Clients. - Laura Rieger; Rasmus M. Th. Høegh; Lars Kai Hansen (CoRR, 2020)

A simple defense against adversarial attacks on heatmap explanations. - Laura Rieger; Lars Kai Hansen (CoRR, 2020)