Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks. - Leona Hennig; Tanja Tornede; Marius Lindauer (CoRR, 2024)

Leveraging AutoML for Sustainable Deep Learning: A Multi- Objective HPO Approach on Deep Shift Neural Networks. - Leona Hennig; Marius Lindauer (Trans. Mach. Learn. Res., 2025)

Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks. - Nick Kocher; Christian Wassermann; Leona Hennig; Jonas Seng; Holger H. Hoos; Kristian Kersting; Marius Lindauer; Matthias S. Müller (CoRR, 2025)

Auto-nnU-Net: Towards Automated Medical Image Segmentation. - Jannis Becktepe; Leona Hennig; Steffen Oeltze-Jafra; Marius Lindauer (CoRR, 2025)

carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks. - Carolin Benjamins; Helena Graf; Sarah Segel; Difan Deng; Tim Ruhkopf; Leona Hennig; Soham Basu; Neeratyoy Mallik; Edward Bergman; Deyao Chen; François Clément; Matthias Feurer; et al. (CoRR, 2025)