Analyzing pharmacological intervention points: A method to calculate external stimuli to switch between steady states in regulatory networks. - Tim Breitenbach; Chunguang Liang; Niklas Beyersdorf; Thomas Dandekar (PLoS Comput. Biol., 2019)

The Pontryagin maximum principle for solving Fokker-Planck optimal control problems. - Tim Breitenbach; Alfio Borzì (Comput. Optim. Appl., 2020)

A sequential quadratic Hamiltonian scheme for solving non-smooth quantum control problems with sparsity. - Tim Breitenbach; Alfio Borzì (J. Comput. Appl. Math., 2020)

Optimization of synthetic molecular reporters for a mesenchymal glioblastoma transcriptional program by integer programing. - Tim Breitenbach; Matthias Jürgen Schmitt; Thomas Dandekar (Bioinform., 2022)

On the SQH method for solving optimal control problems with non-smooth state cost functionals or constraints. - Tim Breitenbach (J. Comput. Appl. Math., 2022)

A principal feature analysis. - Tim Breitenbach; Lauritz Rasbach; Chunguang Liang; Patrick Jahnke (J. Comput. Sci., 2022)

On a method for detecting periods and repeating patterns in time series data with autocorrelation and function approximation. - Tim Breitenbach; Bartosz Wilkusz; Lauritz Rasbach; Patrick Jahnke (Pattern Recognit., 2023)

ML-driven risk estimation for memory failure in a data center environment with convolutional neural networks, self-supervised data labeling and distribution-based model drift determination. - Tim Breitenbach; Shrikanth Malavalli Divakar; Lauritz Rasbach; Patrick Jahnke (J. Parallel Distributed Comput., 2024)

Towards Measuring Predictability: To which extent data-driven approaches can extract deterministic relations from data exemplified with time series prediction and classification. - Saleh Gholam Zadeh; Vaisakh Shaj; Patrick Jahnke; Gerhard Neumann; Tim Breitenbach (Trans. Mach. Learn. Res., 2025)