Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 13 Climate Action
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Dive into the research topics where Stephan Günnemann is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Amplified Patch-Level Differential Privacy for Free via Random Cropping
Durmaz, K., Schuchardt, J., Schmidt, S. & Günnemann, S., 2026, In: Transactions on Machine Learning Research. 2026-MarchResearch output: Contribution to journal › Article › peer-review
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Adversarial Robustness of Graph Transformers
Foth, P., Gosch, L., Geisler, S., Schwinn, L. & Günnemann, S., 2025, In: Transactions on Machine Learning Research. October-2025Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
A PROBABILISTIC PERSPECTIVE ON UNLEARNING AND ALIGNMENT FOR LARGE LANGUAGE MODELS
Scholten, Y., Günnemann, S. & Schwinn, L., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 8929-8945 17 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations -
A Unified Approach Towards Active Learning and Out-of-Distribution Detection
Schmidt, S., Schenk, L., Schwinn, L. & Günnemann, S., 2025, In: Transactions on Machine Learning Research. 2025-AugustResearch output: Contribution to journal › Article › peer-review
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Efficient Time Series Processing for Transformers and State-Space Models through Token Merging
Götz, L., Kollovieh, M., Günnemann, S. & Schwinn, L., 2025, In: Proceedings of Machine Learning Research. 267, p. 20226-20246 21 p.Research output: Contribution to journal › Conference article › peer-review