Miriam Schulte

According to our database, Miriam Schulte authored at least 9 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Inverse Biophysical Modeling and Machine Learning in Personalized Oncology (Dagstuhl Seminar 23022).

George Biros, Andreas Mang, Björn H. Menze, Miriam Schulte

Dagstuhl Reports, January, 2023

Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps.

Kyle Davis, Raphael Leiteritz, Dirk Pflüger, Miriam Schulte

CoRR, 2023

2022

Mesh generation and multi-scale simulation of a contracting muscle-tendon complex.

Benjamin Maier, Miriam Schulte

J. Comput. Sci., 2022

CLAIRE - Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications.

Naveen Himthani, Malte Brunn, Jae-Youn Kim, Miriam Schulte, Andreas Mang, George Biros

J. Imaging, 2022

A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps.

Raphael Leiteritz, Kyle Davis, Miriam Schulte, Dirk Pflüger

CoRR, 2022

2021

preCICE v2: A Sustainable and User-Friendly Coupling Library.

Gerasimos Chourdakis, Kyle Davis, Benjamin Rodenberg, Miriam Schulte, Frédéric Simonis, Benjamin Uekermann, Georg Abrams, Hans-Joachim Bungartz, Lucia Cheung Yau, Ishaan Desai, Konrad Eder, Richard Hertrich, Florian Lindner, Alexander Rusch, Dmytro Sashko, David Schneider, Amin Totounferoush, Dominik Volland, Peter Vollmer, Oguz Ziya Koseomur

CoRR, 2021

Partitioned Deep Learning of Fluid-Structure Interaction.

Amin Totounferoush, Axel Schumacher, Miriam Schulte

CoRR, 2021

Efficient and Scalable Initialization of Partitioned Coupled Simulations with preCICE.

Amin Totounferoush, Frédéric Simonis, Benjamin Uekermann, Miriam Schulte

Algorithms, 2021

1997

Reinforcement Learning for Call Admission Control and Routing in Integrated Service Networks.

Peter Marbach, Oliver Mihatsch, Miriam Schulte, John N. Tsitsiklis

Proceedings of the Advances in Neural Information Processing Systems 10, 1997