| A Generalised Linear Model Framework for β-Variational Autoencoders based on Exponential Dispersion Families R Sicks, R Korn, S Schwaar Journal of Machine Learning Research 22 (233), 1-41, 2021 | 8 | 2021 |
| Adaptive quantile computation for Brownian bridge in change-point analysis J Franke, M Hefter, A Herzwurm, K Ritter, S Schwaar Computational Statistics & Data Analysis 167, 107375, 2022 | 5 | 2022 |
| Application of clustering methods to anomaly detection in fibrous media D Dresvyanskiy, T Karaseva, S Mitrofanov, C Redenbach, S Schwaar, ... IOP Conference Series: Materials Science and Engineering 537 (2), 022001, 2019 | 4 | 2019 |
| Asymptotics for change-point tests and change-point estimators S Schwaar Technische Universität Kaiserslautern, 2017 | 4 | 2017 |
| Federated Learning for Fraud detection in Accounting and Auditing S Grimm, S Schwaar, P Holzer ERCIM NEWS, 30, 2021 | 3 | 2021 |
| A Generalised Linear Model Framework for Variational Autoencoders based on Exponential Dispersion Families R Sicks, R Korn, S Schwaar arXiv e-prints, arXiv: 2006.06267, 2020 | 3 | 2020 |
| Subset simulation interpolation—A new approach to compute effects of model-dynamics in structural reliability F Blandfort, C Glock, J Sass, S Schwaar, R Sefrin Proceedings of the 29th European Safety and Reliability Conference (ESREL …, 2019 | 3* | 2019 |
| Change point detection in text data A Preis, S Schwaar Behaviormetrika, 1-20, 2023 | 2 | 2023 |
| A lower bound for the ELBO of the Bernoulli Variational Autoencoder R Sicks, R Korn, S Schwaar arXiv preprint arXiv:2003.11830, 2020 | 2 | 2020 |
| Efficient and Comprehensive Time-Dependent Reliability Analysis of Complex Structures by a Parameter State Model F Blandfort, C Glock, J Sass, S Schwaar, R Sefrin ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2021 | 1 | 2021 |
| A Data-driven Change-point Estimator S Schwaar arXiv preprint arXiv:2010.12449, 2020 | 1 | 2020 |
| A parametric state space model for time-dependent reliability analysis F Blandfort, C Glock, J Sass, S Schwaar, R Sefrin Proceedings of the 17th International Probabilistic Workshop (IPW 2019), 31-36, 2019 | 1* | 2019 |
