David Stenger - RankMe

22 papers Journal 13Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Preferential Bayesian Optimization With Crash Feedback. IEEE Robotics Autom. Lett. Johanna Menn, David Stenger, Sebastian Trimpe
2025	J	`jnl`	Early Stopping Bayesian Optimization for Controller Tuning. CoRR David Stenger, Dominik Scheurenberg, Heike Vallery, Sebastian Trimpe
2025	J	`jnl`	Local Entropy Search over Descent Sequences for Bayesian Optimization. CoRR David Stenger, Armin Lindicke, Alexander von Rohr, Sebastian Trimpe
2025	—	`conf`	Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF. CDC Tobin Holtmann, David Stenger, Andres Felipe Posada-Moreno, Friedrich Solowjow, Sebastian Trimpe
2025	J	`jnl`	Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF. CoRR Tobin Holtmann, David Stenger, Andres Felipe Posada-Moreno, Friedrich Solowjow, Sebastian Trimpe
2024	—	`conf`	Early Stopping Bayesian Optimization for Controller Tuning. CDC David Stenger, Dominik Scheurenberg, Heike Vallery, Sebastian Trimpe
2024	J	`jnl`	Local Bayesian Optimization for Controller Tuning with Crash Constraints. CoRR Alexander von Rohr, David Stenger, Dominik Scheurenberg, Sebastian Trimpe
2024	J	`jnl`	Local Bayesian optimization for controller tuning with crash constraints. Autom. Alexander von Rohr, David Stenger, Dominik Scheurenberg, Sebastian Trimpe
2023	J	`jnl`	Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs. CoRR Maximilian Nitsch, David Stenger, Dirk Abel
2023	—	`conf`	Vehicle Cabin Climate MPC Parameter Tuning Using Constrained Contextual Bayesian Optimization (C-CMES). ITSC David Stenger, Tim Reuscher, Heike Vallery, Dirk Abel
2023	J	`jnl`	Vehicle Cabin Climate MPC Parameter Tuning Using Constrained Contextual Bayesian Optimization (C-CMES). CoRR David Stenger, Tim Reuscher, Heike Vallery, Dirk Abel
2022	J	`jnl`	Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints. CoRR David Stenger, Dirk Abel
2022	—	`conf`	Joint Constrained Bayesian Optimization of Planning, Guidance, Control, and State Estimation of an Autonomous Underwater Vehicle †. ECC David Stenger, Maximilian Nitsch, Dirk Abel
2022	J	`jnl`	Joint Constrained Bayesian Optimization of Planning, Guidance, Control, and State Estimation of an Autonomous Underwater Vehicle. CoRR David Stenger, Maximilian Nitsch, Dirk Abel
2022	J	`jnl`	What is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance? CoRR David Stenger, Robert Ritschel, Felix Krabbes, Rick Voßwinkel, Hendrik Richter
2021	—	`conf`	Multi-Objective Optimization of a Path-following MPC for Vehicle Guidance: A Bayesian Optimization Approach. ECC Ali Gharib, David Stenger, Robert Ritschel, Rick Voßwinkel
2021	J	`jnl`	Multi-Objective Optimization of a Path-following MPC for Vehicle Guidance: A Bayesian Optimization Approach. CoRR Ali Gharib, David Stenger, Robert Ritschel, Rick Voßwinkel
2021	—	`conf`	Safe Bayesian Optimisation for Controller Design by Utilising the Parameter Space Approach. L4DC Lorenz Dörschel, David Stenger, Dirk Abel
2020	—	`conf`	Environmentally Dependent Adaptive Parameterization of a GNSS-aided Tightly-Coupled Navigation Filter. ENC Jan-Jöran Gehrt, Wenyi Liu, David Stenger, Shuchen Liu, Dirk Abel
2020	J	`jnl`	Robust Parametrization of a Model Predictive Controller for a CNC Machining Center Using Bayesian Optimization. CoRR David Stenger, Muzaffer Ay, Dirk Abel
2018	—	`conf`	Machine Learning and Metaheuristics for Black-Box Optimization of Product Families: A Case-Study Investigating Solution Quality vs. Computational Overhead. OR David Stenger, Lena C. Altherr, Dirk Abel
2017	—	`conf`	Product Family Design Optimization Using Model-Based Engineering Techniques. OR David Stenger, Lena C. Altherr, Tankred Müller, Peter F. Pelz