Julia Herbinger

23 papers A* 1A 2Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Functional Decomposition and Shapley Interactions for Interpreting Survival Models.
CoRR
Sophie Hanna Langbein, Hubert Baniecki, Fabian Fumagalli, Niklas Koenen, Marvin N. Wright, Julia Herbinger
2026 J jnl
GRANITE: A Generalized Regional Framework for Identifying Agreement in Feature-Based Explanations.
CoRR
Julia Herbinger, Gabriel Laberge, Maximilian Muschalik, Yann Pequignot, Marvin N. Wright, Fabian Fumagalli
2025 — conf
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration for Exosuit Personalization.
ECML/PKDD (8)
Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke Hüllermeier, Thomas Augustin, Conor J. Walsh, Giuseppe Casalicchio
2025 A conf
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory.
AISTATS
Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer, Julia Herbinger
2024 J jnl
Decomposing Global Feature Effects Based on Feature Interactions.
J. Mach. Learn. Res.
Julia Herbinger, Marvin N. Wright, Thomas Nagler, Bernd Bischl, Giuseppe Casalicchio
2024 J jnl
Effector: A Python package for regional explanations.
CoRR
Vasilis Gkolemis, Christos Diou, Eirini Ntoutsi, Theodore Dalamagas, Bernd Bischl, Julia Herbinger, Giuseppe Casalicchio
2024 J jnl
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration.
CoRR
Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke Hüllermeier, Thomas Augustin, Conor J. Walsh, Giuseppe Casalicchio
2024 J jnl
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory.
CoRR
Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer, Julia Herbinger
2023 J jnl
Decomposing Global Feature Effects Based on Feature Interactions.
CoRR
Julia Herbinger, Bernd Bischl, Giuseppe Casalicchio
2023 — conf
Leveraging Model-Based Trees as Interpretable Surrogate Models for Model Distillation.
ECAI Workshops (1)
Julia Herbinger, Susanne Dandl, Fiona Katharina Ewald, Sofia Loibl, Giuseppe Casalicchio
2023 J jnl
Leveraging Model-based Trees as Interpretable Surrogate Models for Model Distillation.
CoRR
Julia Herbinger, Susanne Dandl, Fiona Katharina Ewald, Sofia Loibl, Giuseppe Casalicchio
2023 — —
On grouping and partitioning approaches in interpretable machine learning.
Julia Herbinger
2023 — conf
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process.
xAI (1)
Christoph Molnar, Timo Freiesleben, Gunnar König, Julia Herbinger, Tim Reisinger, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl
2022 J jnl
Grouped feature importance and combined features effect plot.
Data Min. Knowl. Discov.
Quay Au, Julia Herbinger, Clemens Stachl, Bernd Bischl, Giuseppe Casalicchio
2022 J jnl
Portfolio optimization with optimal expected utility risk measures.
Ann. Oper. Res.
Sebastian Geissel, Holger Graf, Julia Herbinger, Frank Thomas Seifried
2022 A conf
REPID: Regional Effect Plots with implicit Interaction Detection.
AISTATS
Julia Herbinger, Bernd Bischl, Giuseppe Casalicchio
2022 J jnl
REPID: Regional Effect Plots with implicit Interaction Detection.
CoRR
Julia Herbinger, Bernd Bischl, Giuseppe Casalicchio
2022 J jnl
Stratiform and Convective Rain Classification Using Machine Learning Models and Micro Rain Radar.
Remote. Sens.
Wael Ghada, Éric Casellas, Julia Herbinger, Albert Garcia-Benadí, Ludwig Bothmann, Nicole Estrella, Joan Bech, Annette Menzel
2021 A* conf
Explaining Hyperparameter Optimization via Partial Dependence Plots.
NeurIPS
Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl
2021 J jnl
Explaining Hyperparameter Optimization via Partial Dependence Plots.
CoRR
Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl
2021 J jnl
Grouped Feature Importance and Combined Features Effect Plot.
CoRR
Quay Au, Julia Herbinger, Clemens Stachl, Bernd Bischl, Giuseppe Casalicchio
2020 — conf
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models.
xxAI@ICML
Christoph Molnar, Gunnar König, Julia Herbinger, Timo Freiesleben, Susanne Dandl, Christian A. Scholbeck, Giuseppe Casalicchio, Moritz Grosse-Wentrup, Bernd Bischl
2020 J jnl
Pitfalls to Avoid when Interpreting Machine Learning Models.
CoRR
Christoph Molnar, Gunnar König, Julia Herbinger, Timo Freiesleben, Susanne Dandl, Christian A. Scholbeck, Giuseppe Casalicchio, Moritz Grosse-Wentrup, Bernd Bischl