Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning. - Julian Burghoff; Robin Chan; Hanno Gottschalk; Annika Mütze; Tobias Riedlinger; Matthias Rottmann; Marius Schubert (CoRR, 2022)

Risk Stratification of Malignant Melanoma Using Neural Networks. - Julian Burghoff; Leonhard Ackermann; Younes Salahdine; Veronika Bram; Katharina Wunderlich; Julius Balkenhol; Thomas Dirschka; Hanno Gottschalk (ICANN (4), 2023)

Who Breaks Early, Looses: Goal Oriented Training of Deep Neural Networks Based on Port Hamiltonian Dynamics. - Julian Burghoff; Marc Heinrich Monells; Hanno Gottschalk (ICANN (10), 2023)

Exploring Neural Network Architectures with Automated Machine Learning Approaches. - Julian Burghoff (2023)

ResBuilder: Automated Learning of Depth with Residual Structures. - Julian Burghoff; Matthias Rottmann; Jill von Conta; Sebastian Schoenen; Andreas Witte; Hanno Gottschalk (ICANN (1), 2024)