Hammer, Barbara

28 publications

NeurIPS 2025 AI-Generated Video Detection via Perceptual Straightening Christian Internò, Robert Geirhos, Markus Olhofer, Sunny Liu, Barbara Hammer, David Klindt

ICLR 2025 Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks Maximilian Muschalik, Fabian Fumagalli, Paolo Frazzetto, Janine Strotherm, Luca Hermes, Alessandro Sperduti, Eyke Hüllermeier, Barbara Hammer

NeurIPS 2025 Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Przemyslaw Biecek

ECML-PKDD 2025 Go with the Flow: Leveraging Physics-Informed Gradients to Solve Real-World Problems in Water Distribution Systems Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer

AISTATS 2025 Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer, Julia Herbinger

NeurIPSW 2024 Adaptive Hybrid Model Pruning in Federated Learning Through Loss Exploration Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer

ICMLW 2024 Adaptive Model Pruning in Federated Learning Through Loss Exploration Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer

AAAI 2024 Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier

ICML 2024 KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer

AAAI 2024 Physics-Informed Graph Neural Networks for Water Distribution Systems Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer

AISTATS 2024 SVARM-IQ: Efficient Approximation of Any-Order Shapley Interactions Through Stratification Patrick Kolpaczki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier

NeurIPS 2024 Shapiq: Shapley Interactions for Machine Learning Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara Hammer, Eyke Hüllermeier

MLJ 2023 Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer

NeurIPS 2023 SHAP-IQ: Unified Approximation of Any-Order Shapley Interactions Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer

ECML-PKDD 2023 iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier

ECML-PKDD 2021 Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label Noise Andrea Castellani, Sebastian Schmitt, Barbara Hammer

ICLR 2021 Graph Edit Networks Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer

ECML-PKDD 2021 Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part IV Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José Antonio Lozano

ECML-PKDD 2021 Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part V Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José Antonio Lozano

IJCAI 2020 DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction Alexander Schulz, Fabian Hinder, Barbara Hammer

ICML 2020 Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD) Fabian Hinder, André Artelt, Barbara Hammer

ECML-PKDD 2019 Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold Babak Hosseini, Barbara Hammer

ICML 2018 Tree Edit Distance Learning via Adaptive Symbol Embeddings Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer

IJCAI 2017 Self-Adjusting Memory: How to Deal with Diverse Drift Types Viktor Losing, Barbara Hammer, Heiko Wersing

JMLR 2007 Dynamics and Generalization Ability of LVQ Algorithms Michael Biehl, Anarta Ghosh, Barbara Hammer

NeCo 2003 Architectural Bias in Recurrent Neural Networks: Fractal Analysis Peter Tiño, Barbara Hammer

NeCo 2003 Recurrent Neural Networks with Small Weights Implement Definite Memory Machines Barbara Hammer, Peter Tiño

ALT 2000 On Approximate Learning by Multi-Layered Feedforward Circuits Bhaskar DasGupta, Barbara Hammer