3 papers
cs.LG2025
Constraint Guided Model Quantization of Neural Networks
Quinten Van Baelen, Peter Karsmakers
Deploying neural networks on the edge has become increasingly important as deep learning is being applied in an increasing amount of applications. At the edge computing hardware ty…
cs.LG2025
Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset
Yonas Tefera, Quinten Van Baelen, Maarten Meire +2
This paper presents a constraint-guided deep learning framework for developing physically consistent health indicators in bearing prognostics and health management. Conventional da…
cs.LG2024
Constraint Guided AutoEncoders for Joint Optimization of Condition Indicator Estimation and Anomaly Detection in Machine Condition Monitoring
Maarten Meire, Quinten Van Baelen, Ted Ooijevaar +1
The main goal of machine condition monitoring is, as the name implies, to monitor the condition of industrial applications. The objective of this monitoring can be mainly split int…