Markus Walker

11 papers C 3Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Smooth Sampling-Based Model Predictive Control Using Deterministic Samples.
CoRR
Markus Walker, Marcel Reith-Braun, Tai Hoang, Gerhard Neumann, Uwe D. Hanebeck
2025 C conf
Bridging Bayesian Inference and Neural Network Training: Equivalence of KBNN and Statistical Linearization.
FUSION
Hayk Amirkhanian, Markus Walker, Uwe D. Hanebeck, Marco F. Huber
2025 J jnl
HapticGiant: A Novel Very Large Kinesthetic Haptic Interface With Hierarchical Force Control.
IEEE Trans. Haptics
Michael Fennel, Markus Walker, Dominik Pikos, Uwe D. Hanebeck
2025 J jnl
HapticGiant: A Novel Very Large Kinesthetic Haptic Interface with Hierarchical Force Control.
CoRR
Michael Fennel, Markus Walker, Dominik Pikos, Uwe D. Hanebeck
2025 C conf
Local Calibration Testing in Supervised Machine Learning Models Using Input Space Kernels.
FUSION
Markus Walker, Marcel Reith-Braun, Uwe D. Hanebeck
2025 J jnl
Sample-Efficient and Smooth Cross-Entropy Method Model Predictive Control Using Deterministic Samples.
CoRR
Markus Walker, Daniel Frisch, Uwe D. Hanebeck
2025 J jnl
Stochastic Optimal Control of an Optical Sorter With Material Recirculation.
IEEE Trans. Control. Syst. Technol.
Markus Walker, Marcel Reith-Braun, Albert Bauer, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden, Uwe D. Hanebeck
2024 — conf
Multi-Scale Uncertainty Calibration Testing for Bayesian Neural Networks Using Ball Trees.
MFI
Markus Walker, Uwe D. Hanebeck
2024 C conf
Trustworthy Bayesian Perceptrons.
FUSION
Markus Walker, Hayk Amirkhanian, Marco F. Huber, Uwe D. Hanebeck
2024 — conf
Voronoi Trust Regions for Local Calibration Testing in Supervised Machine Learning Models.
SDF
Markus Walker, Philipp Sebastian Bien, Uwe D. Hanebeck
2023 — conf
Identifying Trust Regions of Bayesian Neural Networks.
SDF-MFI
Markus Walker, Marcel Reith-Braun, Peter Schichtel, Mirko Knaak, Uwe D. Hanebeck