1 citations · 1 across the 4 of their papers we have counts for
4 papers
ParetoTransport: Generative Optimization by Mass Transport Toward The Pareto Front
Stephanie Holly, Sepp Hochreiter, Werner Zellinger
Offline multi-objective optimization requires not only moving the objective vectors of candidate designs toward the Pareto front, but also distributing them effectively along it. G…
One-Class Domain Adaptation via Meta-Learning
Stephanie Holly, Thomas Bierweiler, Stefan von Dosky +3
The deployment of IoT (Internet of Things) sensor-based machine learning models in industrial systems for anomaly classification tasks poses significant challenges due to distribut…
Autoencoder based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems
Stephanie Holly, Robin Heel, Denis Katic +8
Anomaly detection in large industrial cooling systems is very challenging due to the high data dimensionality, inconsistent sensor recordings, and lack of labels. The state of the…
Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System
Stephanie Holly, Thomas Hiessl, Safoura Rezapour Lakani +3
Federated Learning (FL) decouples model training from the need for direct access to the data and allows organizations to collaborate with industry partners to reach a satisfying le…