Miriam Schulte

12 papers Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport. CoRR Julia Pelzer, Corné Verburg, Alexander Heinlein, Miriam Schulte
2024	J	`jnl`	OpenDiHu: An efficient and scalable framework for biophysical simulations of the neuromuscular system. J. Comput. Sci. Benjamin Maier, Dominik Göddeke, Felix Huber, Thomas Klotz, Oliver Röhrle, Miriam Schulte
2023	J	`jnl`	Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps. CoRR Kyle Davis, Raphael Leiteritz, Dirk Pflüger, Miriam Schulte
2023	J	`jnl`	Inverse Biophysical Modeling and Machine Learning in Personalized Oncology (Dagstuhl Seminar 23022). Dagstuhl Reports George Biros, Andreas Mang, Björn H. Menze, Miriam Schulte
2022	J	`jnl`	A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps. CoRR Raphael Leiteritz, Kyle Davis, Miriam Schulte, Dirk Pflüger
2022	J	`jnl`	CLAIRE - Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications. CoRR Naveen Himthani, Malte Brunn, Jae-Youn Kim, Miriam Schulte, Andreas Mang, George Biros
2022	J	`jnl`	CLAIRE - Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications. J. Imaging Naveen Himthani, Malte Brunn, Jae-Youn Kim, Miriam Schulte, Andreas Mang, George Biros
2022	J	`jnl`	Mesh generation and multi-scale simulation of a contracting muscle-tendon complex. J. Comput. Sci. Benjamin Maier, Miriam Schulte
2021	J	`jnl`	Efficient and Scalable Initialization of Partitioned Coupled Simulations with preCICE. Algorithms Amin Totounferoush, Frédéric Simonis, Benjamin Uekermann, Miriam Schulte
2021	J	`jnl`	Partitioned Deep Learning of Fluid-Structure Interaction. CoRR Amin Totounferoush, Axel Schumacher, Miriam Schulte
2021	J	`jnl`	preCICE v2: A Sustainable and User-Friendly Coupling Library. CoRR 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
1997	—	`conf`	Reinforcement Learning for Call Admission Control and Routing in Integrated Service Networks. NIPS Peter Marbach, Oliver Mihatsch, Miriam Schulte, John N. Tsitsiklis