Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text. - Lukas Ruff; Yury Zemlyanskiy; Robert A. Vandermeulen; Thomas Schnake; Marius Kloft (ACL (1), 2019)

XAI for Graphs: Explaining Graph Neural Network Predictions by Identifying Relevant Walks. - Thomas Schnake; Oliver Eberle; Jonas Lederer; Shinichi Nakajima; Kristof T. Schütt; Klaus-Robert Müller; Grégoire Montavon (CoRR, 2020)

XAI for Transformers: Better Explanations through Conservative Propagation. - Ameen Ali; Thomas Schnake; Oliver Eberle; Grégoire Montavon; Klaus-Robert Müller; Lior Wolf (ICML, 2022)

Efficient Computation of Higher-Order Subgraph Attribution via Message Passing. - Ping Xiong 002; Thomas Schnake; Grégoire Montavon; Klaus-Robert Müller; Shinichi Nakajima (ICML, 2022)

Higher-Order Explanations of Graph Neural Networks via Relevant Walks. - Thomas Schnake; Oliver Eberle; Jonas Lederer; Shinichi Nakajima; Kristof T. Schütt; Klaus-Robert Müller; Grégoire Montavon (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Relevant Walk Search for Explaining Graph Neural Networks. - Ping Xiong 002; Thomas Schnake; Michael Gastegger; Grégoire Montavon; Klaus-Robert Müller; Shinichi Nakajima (ICML, 2023)

xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology. - Julius Hense; Mina Jamshidi Idaji; Oliver Eberle; Thomas Schnake; Jonas Dippel; Laure Ciernik; Oliver Buchstab; Andreas Mock; Frederick Klauschen; Klaus-Robert Müller (NeurIPS, 2024)

Towards symbolic XAI - explanation through human understandable logical relationships between features. - Thomas Schnake; Farnoush Rezaei Jafari; Jonas Lederer; Ping Xiong 002; Shinichi Nakajima; Stefan Gugler; Grégoire Montavon; Klaus-Robert Müller (Inf. Fusion, 2025)

Uncovering the Structure of Explanation Quality with Spectral Analysis. - Johannes Maeß; Grégoire Montavon; Shinichi Nakajima; Klaus-Robert Müller; Thomas Schnake (CoRR, 2025)