Markus Walker

According to our database, Markus Walker authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Smooth Sampling-Based Model Predictive Control Using Deterministic Samples.

Markus Walker, Marcel Reith-Braun, Tai Hoang, Gerhard Neumann, Uwe D. Hanebeck

CoRR, January, 2026

2025

Sample-Efficient and Smooth Cross-Entropy Method Model Predictive Control Using Deterministic Samples.

Markus Walker, Daniel Frisch, Uwe D. Hanebeck

CoRR, October, 2025

Stochastic Optimal Control of an Optical Sorter With Material Recirculation.

Markus Walker, Marcel Reith-Braun, Albert Bauer, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden, Uwe D. Hanebeck

IEEE Trans. Control. Syst. Technol., January, 2025

HapticGiant: A Novel Very Large Kinesthetic Haptic Interface With Hierarchical Force Control.

Michael Fennel, Markus Walker, Dominik Pikos, Uwe D. Hanebeck

IEEE Trans. Haptics, 2025

Local Calibration Testing in Supervised Machine Learning Models Using Input Space Kernels.

Markus Walker, Marcel Reith-Braun, Uwe D. Hanebeck

Proceedings of the 28th International Conference on Information Fusion, 2025

Bridging Bayesian Inference and Neural Network Training: Equivalence of KBNN and Statistical Linearization.

Hayk Amirkhanian, Markus Walker, Uwe D. Hanebeck, Marco F. Huber

Proceedings of the 28th International Conference on Information Fusion, 2025

2024

Voronoi Trust Regions for Local Calibration Testing in Supervised Machine Learning Models.

Markus Walker, Philipp Sebastian Bien, Uwe D. Hanebeck

Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2024

Multi-Scale Uncertainty Calibration Testing for Bayesian Neural Networks Using Ball Trees.

Markus Walker, Uwe D. Hanebeck

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2024

Trustworthy Bayesian Perceptrons.

Markus Walker, Hayk Amirkhanian, Marco F. Huber, Uwe D. Hanebeck

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

Identifying Trust Regions of Bayesian Neural Networks.

Markus Walker, Marcel Reith-Braun, Peter Schichtel, Mirko Knaak, Uwe D. Hanebeck

Proceedings of the 2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI), 2023