Reinforcement Learning for Call Admission Control and Routing in Integrated Service Networks. - Peter Marbach; Oliver Mihatsch; Miriam Schulte; John N. Tsitsiklis (NIPS, 1997)

Efficient and Scalable Initialization of Partitioned Coupled Simulations with preCICE. - Amin Totounferoush; Frédéric Simonis; Benjamin Uekermann; Miriam Schulte (Algorithms, 2021)

Partitioned Deep Learning of Fluid-Structure Interaction. - Amin Totounferoush; Axel Schumacher; Miriam Schulte (CoRR, 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; et al. (CoRR, 2021)

preCICE Distribution Version v2104.0. - 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; et al. (DaRUS, 2021)

preCICE Distribution Version v2104.0. - 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; et al. (DaRUS, 2021)

A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps. - Raphael Leiteritz; Kyle Davis; Miriam Schulte; Dirk Pflüger (CoRR, 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)

Mesh generation and multi-scale simulation of a contracting muscle-tendon complex. - Benjamin Maier; Miriam Schulte (J. Comput. Sci., 2022)

Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps. - Kyle Davis; Raphael Leiteritz; Dirk Pflüger; Miriam Schulte (CoRR, 2023)

Inverse Biophysical Modeling and Machine Learning in Personalized Oncology (Dagstuhl Seminar 23022). - George Biros; Andreas Mang; Björn H. Menze; Miriam Schulte (Dagstuhl Reports, 2023)

OpenDiHu: An efficient and scalable framework for biophysical simulations of the neuromuscular system. - Benjamin Maier; Dominik Göddeke; Felix Huber; Thomas Klotz; Oliver Röhrle; Miriam Schulte (J. Comput. Sci., 2024)

Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport. - Julia Pelzer; Corné Verburg; Alexander Heinlein; Miriam Schulte (CoRR, 2025)