Assessing the Impact of Diversity on the Resilience of Deep Learning Ensembles: A Comparative Study on Model Architecture, Output, Activation, and Attribution. - Rafael Rosales; Pablo Munoz; Michael Paulitsch (ICCV (Workshops), 2023)

Exploring Resiliency to Natural Image Corruptions in Deep Learning using Design Diversity. - Rafael Rosales; Pablo Munoz; Michael Paulitsch (CoRR, 2023)

Improving Federated Learning Through Low-Entropy Client Sampling Based on Learned High-Level Features. - Waqwoya Abebe; Pablo Munoz; Ali Jannesari (CLOUD, 2024)