Julian Burghoff

According to our database, Julian Burghoff authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

ResBuilder: Automated Learning of Depth with Residual Structures.

Julian Burghoff, Matthias Rottmann, Jill von Conta, Sebastian Schoenen, Andreas Witte, Hanno Gottschalk

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Exploring Neural Network Architectures with Automated Machine Learning Approaches.

Julian Burghoff

PhD thesis, 2023

Who Breaks Early, Looses: Goal Oriented Training of Deep Neural Networks Based on Port Hamiltonian Dynamics.

Julian Burghoff, Marc Heinrich Monells, Hanno Gottschalk

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Risk Stratification of Malignant Melanoma Using Neural Networks.

Julian Burghoff, Leonhard Ackermann, Younes Salahdine, Veronika Bram, Katharina Wunderlich, Julius Balkenhol, Thomas Dirschka, Hanno Gottschalk

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

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