publications | Fabian Fumagalli

2024

Preprint

Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory

Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer, and Julia Herbinger

In arXiv, cs.LG, 2024

@inproceedings{fumagalli2024unifyingfeaturebasedexplanationsfunctional,
  title = {Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory},
  author = {Fumagalli, Fabian and Muschalik, Maximilian and Hüllermeier, Eyke and Hammer, Barbara and Herbinger, Julia},
  year = {2024},
  eprint = {2412.17152},
  booktitle = {arXiv, cs.LG},
}

NeurIPS 2024

shapiq: Shapley Interactions for Machine Learning

Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara Hammer, and Eyke Hüllermeier

In The Thirty-eight Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2024

Bib Poster Website

@inproceedings{muschalik2024shapiq,
  title = {shapiq: Shapley Interactions for Machine Learning},
  author = {Muschalik, Maximilian and Baniecki, Hubert and Fumagalli, Fabian and Kolpaczki, Patrick and Hammer, Barbara and H\"{u}llermeier, Eyke},
  booktitle = {The Thirty-eight Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track},
  year = {2024},
  url = {https://openreview.net/forum?id=knxGmi6SJi},
}

ICML 2024

KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions

Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, and Barbara Hammer

In Forty-first International Conference on Machine Learning (ICML), 2024

Bib Poster

@inproceedings{Fumagalli.2024,
  title = {Kernel{SHAP}-{IQ}: Weighted Least Square Optimization for Shapley Interactions},
  author = {Fumagalli, Fabian and Muschalik, Maximilian and Kolpaczki, Patrick and H{\"u}llermeier, Eyke and Hammer, Barbara},
  year = {2024},
  booktitle = {Forty-first International Conference on Machine Learning (ICML)},
  url = {https://openreview.net/forum?id=d5jXW2H4gg},
}

AAAI 2024

Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles

Maximilian Muschalik^*, Fabian Fumagalli^*, Barbara Hammer, and Eyke Hüllermeier

In Thirty-Eighth AAAI Conference on Artificial Intelligence, (AAAI), 2024

DOI Bib Poster

@inproceedings{Muschalik.2024,
  title = {Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles},
  author = {Muschalik, Maximilian and Fumagalli, Fabian and Hammer, Barbara and H{\"{u}}llermeier, Eyke},
  year = {2024},
  booktitle = {Thirty-Eighth {AAAI} Conference on Artificial Intelligence, (AAAI)},
  publisher = {{AAAI} Press},
  pages = {14388--14396},
  doi = {10.1609/AAAI.V38I12.29225},
  url = {https://doi.org/10.1609/aaai.v38i12.29225},
}

AISTATS 2024

SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification

Patrick Kolpaczki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, and Eyke Hüllermeier

In International Conference on Artificial Intelligence and Statistics (AISTATS), 2024

Bib

@inproceedings{Kolpaczki.2024,
  title = {{SVARM-IQ:} Efficient Approximation of Any-order Shapley Interactions through Stratification},
  author = {Kolpaczki, Patrick and Muschalik, Maximilian and Fumagalli, Fabian and Hammer, Barbara and H{\"{u}}llermeier, Eyke},
  year = {2024},
  booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
  publisher = {{PMLR}},
  series = {Proceedings of Machine Learning Research},
  volume = {238},
  pages = {3520--3528},
  url = {https://proceedings.mlr.press/v238/kolpaczki24a.html},
}

IJCNN 2024

No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation

Philip Kenneweg, Tristan Kenneweg, Fabian Fumagalli, and Barbara Hammer

In International Joint Conference on Neural Networks, (IJCNN), 2024

DOI Bib

@inproceedings{DBLP:conf/ijcnn/KennewegKFH24,
  author = {Kenneweg, Philip and Kenneweg, Tristan and Fumagalli, Fabian and Hammer, Barbara},
  title = {No learning rates needed: Introducing {SALSA} - Stable Armijo Line
                    Search Adaptation},
  year = {2024},
  booktitle = {International Joint Conference on Neural Networks, {(IJCNN)}},
  pages = {1--8},
  publisher = {{IEEE}},
  url = {https://doi.org/10.1109/IJCNN60899.2024.10650124},
  doi = {10.1109/IJCNN60899.2024.10650124},
}

2023

NeurIPS 2023

SHAP-IQ: Unified Approximation of any-order Shapley Interactions

Fabian Fumagalli^*, Maximilian Muschalik^*, Patrick Kolpaczki, Eyke Hüllermeier, and Barbara Hammer

In Advances in Neural Information Processing Systems 36 (NeurIPS), 2023

Bib Poster

@inproceedings{Fumagalli.2023b,
  title = {{SHAP-IQ:} Unified Approximation of any-order Shapley Interactions},
  author = {Fumagalli, Fabian and Muschalik, Maximilian and Kolpaczki, Patrick and H{\"{u}}llermeier, Eyke and Hammer, Barbara},
  year = {2023},
  booktitle = {Advances in Neural Information Processing Systems 36 (NeurIPS)},
  url = {https://openreview.net/forum?id=IEMLNF4gK4},
}

MLJ

Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams

Fabian Fumagalli^*, Maximilian Muschalik^*, Eyke Hüllermeier, and Barbara Hammer

Machine Learning, 2023

DOI Bib Poster Slides

@article{Fumagalli.2023a,
  title = {Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams},
  author = {Fumagalli, Fabian and Muschalik, Maximilian and H{\"{u}}llermeier, Eyke and Hammer, Barbara},
  year = {2023},
  journal = {Machine Learning},
  volume = {112},
  number = {12},
  pages = {4863--4903},
  doi = {10.1007/S10994-023-06385-Y},
  url = {https://doi.org/10.1007/s10994-023-06385-y},
}

xAI 2023

iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios

Maximilian Muschalik^*, Fabian Fumagalli^*, Rohit Jagtani, Barbara Hammer, and Eyke Hüllermeier

In World Conference of Explainable Artificial Intelligence (xAI), 2023

DOI Bib Slides

@inproceedings{Muschalik.2023,
  title = {iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios},
  author = {Muschalik, Maximilian and Fumagalli, Fabian and Jagtani, Rohit and Hammer, Barbara and H{\"{u}}llermeier, Eyke},
  year = {2023},
  booktitle = {World Conference of Explainable Artificial Intelligence (xAI)},
  publisher = {Springer},
  series = {Communications in Computer and Information Science},
  volume = {1901},
  pages = {177--194},
  doi = {10.1007/978-3-031-44064-9\_11},
  url = {https://doi.org/10.1007/978-3-031-44064-9\_11},
}

ECML PKDD 2023

iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams

Maximilian Muschalik^*, Fabian Fumagalli^*, Barbara Hammer, and Eyke Hüllermeier

In Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, (ECML PKDD), 2023

DOI Bib Poster Slides

@inproceedings{Muschalik.2023a,
  title = {iSAGE: An Incremental Version of {SAGE} for Online Explanation on Data Streams},
  author = {Muschalik, Maximilian and Fumagalli, Fabian and Hammer, Barbara and H{\"{u}}llermeier, Eyke},
  booktitle = {Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ({ECML} {PKDD})},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  volume = {14171},
  year = {2023},
  pages = {428--445},
  doi = {10.1007/978-3-031-43418-1\_26},
  url = {https://doi.org/10.1007/978-3-031-43418-1\_26},
}

ESANN 2023

On Feature Removal for Explainability in Dynamic Environments

Fabian Fumagalli^*, Maximilian Muschalik^*, Eyke Hüllermeier, and Barbara Hammer

In 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2023

DOI Bib Poster

@inproceedings{Fumagalli.2023,
  title = {On Feature Removal for Explainability in Dynamic Environments},
  author = {Fumagalli, Fabian and Muschalik, Maximilian and H{\"{u}}llermeier, Eyke and Hammer, Barbara},
  year = {2023},
  booktitle = {31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning ({ESANN})},
  doi = {10.14428/ESANN/2023.ES2023-148},
  url = {https://doi.org/10.14428/esann/2023.ES2023-148},
}

2022

KI Journal

Agnostic Explanation of Model Change based on Feature Importance

Maximilian Muschalik^*, Fabian Fumagalli^*, Barbara Hammer, and Eyke Hüllermeier

Künstliche Intelligenz, 2022

DOI Bib Website

@article{Muschalik.2022,
  title = {Agnostic Explanation of Model Change based on Feature Importance},
  author = {Muschalik, Maximilian and Fumagalli, Fabian and Hammer, Barbara and H{\"{u}}llermeier, Eyke},
  year = {2022},
  journal = {K{\"{u}}nstliche Intelligenz},
  volume = {36},
  number = {3},
  pages = {211--224},
  doi = {10.1007/s13218-022-00766-6},
}