| 2022 | EDM | Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood Profile. | Benjamin Paaen, Christina Gpfert, Niels Pinkwart |
| 2022 | WWW | Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. | Christina Gpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier |
| 2021 | ICANN | How to Compare Adversarial Robustness of Classifiers from a Global Perspective. | Niklas Risse, Christina Gpfert, Jan Philip Gpfert |
| 2019 | CIBCB | FRI-Feature Relevance Intervals for Interpretable and Interactive Data Exploration. | Lukas Pfannschmidt, Christina Gpfert, Ursula Neumann, Dominik Heider, Barbara Hammer |
| 2019 | COLT | When can unlabeled data improve the learning rate? | Christina Gpfert, Shai Ben-David, Olivier Bousquet, Sylvain Gelly, Ilya O. Tolstikhin, Ruth Urner |
| 2017 | ESANN | Feature Relevance Bounds for Linear Classification. | Christina Gpfert, Lukas Pfannschmidt, Barbara Hammer |
| 2016 | ESANN | Gaussian process prediction for time series of structured data. | Benjamin Paassen, Christina Gpfert, Barbara Hammer |
| 2016 | ICANN | Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning. | Christina Gpfert, Benjamin Paassen, Barbara Hammer |
| 2016 | ICANN | Local Reject Option for Deterministic Multi-class SVM. | Johannes Kummert, Benjamin Paassen, Joris Jensen, Christina Gpfert, Barbara Hammer |