Constraint Guided Gradient Descent: Guided Training with Inequality Constraints. - Quinten Van Baelen; Peter Karsmakers (ESANN, 2022)

Constraint guided gradient descent: Training with inequality constraints with applications in regression and semantic segmentation. - Quinten Van Baelen; Peter Karsmakers (Neurocomputing, 2023)

Constraints as Alternative Learning Objective in Deep Learning. - Quinten Van Baelen; Peter Karsmakers (ESANN, 2024)

Constraint Guided Model Quantization of Neural Networks. - Quinten Van Baelen; Peter Karsmakers (CoRR, 2024)

Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset. - Yonas Y. Tefera; Quinten Van Baelen; Maarten Meire; Stijn Luca; Peter Karsmakers (CoRR, 2025)

Constraint guided autoencoders for joint optimization of condition indicator estimation and anomaly detection in machine condition monitoring. - Maarten Meire; Quinten Van Baelen; Ted Ooijevaar; Peter Karsmakers (Mach. Learn., 2025)