Roland C. Aydin

According to our database, Roland C. Aydin authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Generative adversarial networks for creating realistic training data for machine learning-based segmentation of FIB tomography data.

Trushal Sardhara, Christian J. Cyron, Martin Ritter, Roland C. Aydin

Mach. Learn. Sci. Technol., 2025

2024

Active partitioning: inverting the paradigm of active learning.

Marius Tacke, Matthias Busch, Kevin Linka, Christian J. Cyron, Roland C. Aydin

CoRR, 2024

ECToNAS: Evolutionary Cross-Topology Neural Architecture Search.

Elisabeth J. Schiessler, Roland C. Aydin, Christian J. Cyron

CoRR, 2024

2021

Neural network surgery: Combining training with topology optimization.

Elisabeth J. Schiessler, Roland C. Aydin, Kevin Linka, Christian J. Cyron

Neural Networks, 2021

Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning.

Kevin Linka, Markus Hillgärtner, Kian P. Abdolazizi, Roland C. Aydin, Mikhail Itskov, Christian J. Cyron

J. Comput. Phys., 2021

What do cells regulate in soft tissues on short time scales?

Jonas F. Eichinger, Daniel Paukner, Roland C. Aydin, Wolfgang A. Wall, Jay D. Humphrey, Christian J. Cyron

CoRR, 2021

A computational framework for modeling cell-matrix interactions in soft biological tissues.

Jonas F. Eichinger, Maximilian J. Grill, Iman Davoodi Kermani, Roland C. Aydin, Wolfgang A. Wall, Jay D. Humphrey, Christian J. Cyron

CoRR, 2021