Challenges and Opportunities for Statistics in the Era ofData Science
Kirch C, Lahiri S, Binder H, Brannath W, Cribben I, Dette H, Doebler P, Feng O, Gandy A, Greven S, Hammer B, et al. (2025)
Harvard Data Science Review 7(2): ufaltur6.
Barbara Hammer
head
bhammer@techfak.uni-bielefeld.de +49 521 106-12115Room: CITEC 2-225
Barbara Hammer is a full Professor for Machine Learning at the CITEC Cluster at Bielefeld University, Germany. She received her Ph.D. in Computer Science in 1999 and her venia legendi (permission to teach) in 2003, both from the University of Osnabrueck, Germany, where she chaired a junior research group on ‘Learning with Neural Methods on Structured Data’.
In 2004, she became Professor for Theoretical Computer Science at Clausthal University of Technology, Germany, before moving to Bielefeld as chair of the Machine Learning group in 2010. Several research stays took her to University Paris I, University of Padova, Birmingham University, and CAIR Bangalore.
Barbara’s research interests cover theory and algorithms in machine learning and neural networks and their application for technical systems and the life sciences, including explainability, learning with drift, nonlinear dimensionality reduction, recursive models, and learning with non-standard data.
Publications:
Generating synthetic genotypes using diffusion models
Kenneweg P, Dandinasivara Rangaram R, Luo X, Hammer B, Schönhuth A (2025)
Bioinformatics 41(Suppl. 1): i484-i492.
Hermes L, Artelt A, Vrachimis SG, Polycarpou MM, Hammer B (2025)
SN Computer Science 6(5): 522.
Realistic Benchmarks for Fair Stream Learning
Lammers K, Vaquet V, Vaquet J, Hammer B (Submitted) .
Visser R, Peters T, Scharlau I, Hammer B (2025)
Cognitive Systems Research: 101357.
Generating Cardiovascular Data by Integration of Physiological Information
Kummert J, Schulz A, Habigt M, Stemmler M, Kohler C, Abel D, Rossaint R, Hammer B (2025)
In: 2025 IEEE Symposium on Computational Intelligence in Health and Medicine (CIHM). IEEE: 1-6.
Roberts J (I), Hinder F, Vaquet V, Schulz A, Hammer B (2025)
In: ESANN 2025 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 561-566.
Evaluating Concept Discovery Methods for Sensitive Attributes in Language Models
Schroeder S, Schulz A, Hammer B (2025)
In: ESANN 2025 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 669-674.
Towards Reliable Drift Detection and Explanation in Text Data
Feldhans R, Hammer B (2025)
In: Intelligent Data Engineering and Automated Learning – IDEAL 2024, PT I. Lecture Notes in Computer Science, 15346. Cham: Springer : 301-312.
Peters H, Mazur A, Pandey AK, Trächtler A, Hammer B, Homberg W (2025)
at - Automatisierungstechnik 73(3): 173-184.
Aligning Generalisation Between Humans and Machines
Ilievski F, Hammer B, van Harmelen F, Paaßen B, Saralajew S, Schmid U, Biehl M, Bolognesi M, Luna Dong X, Gashteovski K, Hitzler P, et al. (2024)
arXiv.
FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation
Velioglu R, Chan RK-W, Hammer B (2024)
In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE International Joint Conference on Neural Networks (IJCNN). New York: Institute of Electrical and Electronics Engineers (IEEE).
Koopman-Based Surrogate Modelling of Turbulent Rayleigh-Benard Convection
Markmann T, Straat M, Hammer B (2024)
In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE International Joint Conference on Neural Networks (IJCNN). New York: Institute of Electrical and Electronics Engineers (IEEE).
Federated Loss Exploration for Improved Convergence on Non-IID Data
Internò C, Olhofer M, Jin Y, Hammer B (2024)
In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE International Joint Conference on Neural Networks (IJCNN). New York: Institute of Electrical and Electronics Engineers (IEEE).
Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations
Vaquet V, Hinder F, Vaquet J, Lammers K, Quakernack L, Hammer B (2024)
In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-8.
The SAME score: Improved cosine based measure for semantic bias
Schroeder S, Schulz A, Hammer B (2024)
In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-8.
KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions
Fumagalli F, Muschalik M, Kolpaczki P, Hüllermeier E, Hammer B (2024)
In: Proceedings of the 41st International Conference on Machine Learning. Salakhutdinov R, Kolter Z, Heller K, Weller A, Oliver N, Scarlett J, Berkenkamp F (Eds); Proceedings of Machine Learning Research, 235. PMLR: 14308-14342.
Visualizing and Improving 3D Mesh Segmentation with DeepView
Mazur A, Roberts J (I), Leins D, Schulz A, Hammer B (2024)
In: ESANN 2024 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 649-654.
Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks
Vaquet V, Hinder F, Artelt A, Ashraf I, Strotherm J, Vaquet J, Brinkrolf J, Hammer B (2024)
In: Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX. Wand M, Malinovská K, Schmidhuber J, Tetko IV (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 155-170.
TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models
Velioglu R, Bevandic P, Chan R, Hammer B (2024)
arXiv:2411.18350.