Katharina Rombach

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Fault Detection

Unsupervised Learning

Operating Conditions

Top Venues

Publications

Florent Forest, Katharina Rombach, Olga Fink
Interpretable Prognostics with Concept Bottleneck Models. CoRR (2024)
Katharina Rombach, Gabriel Michau, Olga Fink
domain adaptation. Reliab. Eng. Syst. Saf. 230 (2023)
Giovanni Sutanto, Katharina Rombach, Yevgen Chebotar, Zhe Su, Stefan Schaal, Gaurav S. Sukhatme, Franziska Meier
Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed. Int. J. Robotics Res. 41 (13-14) (2022)
Katharina Rombach, Gabriel Michau, Olga Fink
Controlled Generation of Unseen Faults for Partial and OpenSet&Partial Domain Adaptation. CoRR (2022)
Katharina Rombach, Gabriel Michau, Kajan Ratnasabapathy, Lucian-Stefan Ancu, Wilfried Bürzle, Stefan Koller, Olga Fink
Contrastive Feature Learning for Fault Detection and Diagnostics in Railway Applications. CoRR (2022)
Katharina Rombach, Gabriel Michau, Olga Fink
Contrastive Learning for Fault Detection and Diagnostics in the Context of Changing Operating Conditions and Novel Fault Types. Sensors 21 (10) (2021)
Giovanni Sutanto, Katharina Rombach, Yevgen Chebotar, Zhe Su, Stefan Schaal, Gaurav S. Sukhatme, Franziska Meier
Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed. CoRR (2020)
Katharina Rombach, Gabriel Michau, Olga Fink
Improving generalization of deep fault detection models in the presence of mislabeled data. SMC (2020)
Katharina Rombach, Gabriel Michau, Olga Fink
Improving Generalization of Deep Fault Detection Models in the Presence of Mislabeled Data. CoRR (2020)
Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann
Automated Machine Learning in Practice: State of the Art and Recent Results. CoRR (2019)
Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann
Automated Machine Learning in Practice: State of the Art and Recent Results. SDS (2019)
Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener
Deep Learning in the Wild. CoRR (2018)
Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener
Deep Learning in the Wild. ANNPR (2018)