Philine Lou Bommer

According to our database, Philine Lou Bommer authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework.

Laura Kopf, Nils Feldhus, Kirill Bykov, Philine Lou Bommer, Anna Hedström, Marina M.-C. Höhne, Oliver Eberle

CoRR, June, 2025

Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter Weather.

Philine Lou Bommer, Marlene Kretschmer, Fiona R. Spuler, Kirill Bykov, Marina M.-C. Höhne

CoRR, April, 2025

Evaluating Interpretable Methods via Geometric Alignment of Functional Distortions.

Anna Hedström, Philine Lou Bommer, Thomas F. Burns, Sebastian Lapuschkin, Wojciech Samek, Marina M.-C. Höhne

Trans. Mach. Learn. Res., 2025

2024

CoSy: Evaluating Textual Explanations of Neurons.

Laura Kopf, Philine Lou Bommer, Anna Hedström, Sebastian Lapuschkin, Marina M.-C. Höhne, Kirill Bykov

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus.

Anna Hedström, Philine Lou Bommer, Kristoffer Knutsen Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne

Trans. Mach. Learn. Res., 2023

Finding the right XAI method - A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science.

Philine Lou Bommer, Marlene Kretschmer, Anna Hedström, Dilyara Bareeva, Marina M.-C. Höhne

CoRR, 2023

2022

Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series.

Daniel Kramer, Philine Lou Bommer, Daniel Durstewitz, Carlo Tombolini, Georgia Koppe

Proceedings of the International Conference on Machine Learning, 2022

2021

Identifying nonlinear dynamical systems from multi-modal time series data.

Philine Lou Bommer, Daniel Kramer, Carlo Tombolini, Georgia Koppe, Daniel Durstewitz

CoRR, 2021