30 citations · 89 across the 21 of their papers we have counts for
7 papers · 1 filter
Using Autoencoders and AutoDiff to Reconstruct Missing Variables in a Set of Time Series
Jan-Philipp Roche, Oliver Niggemann, Jens Friebe
Existing black box modeling approaches in machine learning suffer from a fixed input and output feature combination. In this paper, a new approach to reconstruct missing variables…
Graph Structural Residuals: A Learning Approach to Diagnosis
Jan Lukas Augustin, Oliver Niggemann
Traditional model-based diagnosis relies on constructing explicit system models, a process that can be laborious and expertise-demanding. In this paper, we propose a novel framewor…
Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study
Alexander Windmann, Henrik Steude, Oliver Niggemann
Deep learning (DL) models have seen increased attention for time series forecasting, yet the application on cyber-physical systems (CPS) is hindered by the lacking robustness of th…
A Diagnosis Algorithms for a Rotary Indexing Machine
Maria Krantz, Oliver Niggemann
Rotary Indexing Machines (RIMs) are widely used in manufacturing due to their ability to perform multiple production steps on a single product without manual repositioning, reducin…
A Cross-Frequency Protective Emblem: Protective Options for Medical Units and Wounded Soldiers in the Context of (fully) Autonomous Warfare
Daniel C. Hinck, Jonas J. Schöttler, Maria Krantz +2
The protection of non-combatants in times of (fully) autonomous warfare raises the question of the timeliness of the international protective emblem. Incidents in the recent past i…
High Accuracy Uncertainty-Aware Interatomic Force Modeling with Equivariant Bayesian Neural Networks
Tim Rensmeyer, Benjamin Craig, Denis Kramer +1
Even though Bayesian neural networks offer a promising framework for modeling uncertainty, active learning and incorporating prior physical knowledge, few applications of them can…
Plan-Based Derivation of General Functional Structures in Product Design
Philipp Rosenthal, Niels Demke, Frank Mantwill +1
In product design, a decomposition of the overall product function into a set of smaller, interacting functions is usually considered a crucial first step for any computer-supporte…