Therapy Discrimination via Global Sensitivity Analysis of Force-induced Bone Growth and Adaptation. - Solvey Maldonado; Anton Savchenko; Rolf Findeisen (CCA, 2010)

ADMIT: a toolbox for guaranteed model invalidation, estimation and qualitative-quantitative modeling. - Stefan Streif; Anton Savchenko; Philipp Rumschinski; Steffen Borchers; Rolf Findeisen (Bioinform., 2012)

Interactive Environment for Massive Neuroscience simulations in Grid. - Andrii Salnikov; Oleksandr O. Sudakov; Roman Levchenko; Ievgen A. Sliusar; Anton Savchenko (Int. J. Comput., 2012)

Admissible Control Parametrization of Uncertain Finite-time Processes With Application to Li-ion Battery Management. - Petar Andonov; Bruno Morabito; Anton Savchenko; Rolf Findeisen (ECC, 2018)

Controller Parametrization for Offset-free Control Using Set-Based Feasibility Methods. - Petar Andonov; Anton Savchenko; Rolf Findeisen (ACC, 2019)

Towards nominal stability certification of deep learning-based controllers. - Hoang Hai Nguyen; Janine Matschek; Tim Zieger; Anton Savchenko; Navid Noroozi; Rolf Findeisen (ACC, 2020)

Monitoring and verification of event-driven transportation systems in discrete manufacturing. - Petar Andonov; Anton Savchenko; Philipp Rumschinski; Thomas Trenner; Jörg Neidig; Rolf Findeisen (CCTA, 2020)

One-Step Safe Neural Network Supported Control. - Tim Zieger; Anton Savchenko; Thimo Oehlschlägel; Rolf Findeisen (ACC, 2021)

Stochastic Model Predictive Control Utilizing Bayesian Neural Networks. - Johannes Pohlodek; Hendrik Alsmeier; Bruno Morabito; Christian Schlauch; Anton Savchenko; Rolf Findeisen (ACC, 2023)

Neural Horizon Model Predictive Control - Increasing Computational Efficiency with Neural Networks. - Hendrik Alsmeier; Anton Savchenko; Rolf Findeisen (ACC, 2024)

Imitation Learning of MPC with Neural Networks: Error Guarantees and Sparsification. - Hendrik Alsmeier; Lukas Theiner; Anton Savchenko; Ali Mesbah 002; Rolf Findeisen (CDC, 2024)