Convolutional Dynamic Alignment Networks for Interpretable Classifications. - Moritz Böhle; Mario Fritz; Bernt Schiele (CVPR, 2021)

B-cos Networks: Alignment is All We Need for Interpretability. - Moritz Böhle; Mario Fritz; Bernt Schiele (CVPR, 2022)

Towards Better Understanding Attribution Methods. - Sukrut Rao; Moritz Böhle; Bernt Schiele (CVPR, 2022)

Studying How to Efficiently and Effectively Guide Models with Explanations. - Sukrut Rao; Moritz Böhle; Amin Parchami-Araghi; Bernt Schiele (ICCV, 2023)

Temperature Schedules for self-supervised contrastive methods on long-tail data. - Anna Kukleva; Moritz Böhle; Bernt Schiele; Hilde Kuehne; Christian Rupprecht 001 (ICLR, 2023)

Holistically Explainable Vision Transformers. - Moritz Böhle; Mario Fritz; Bernt Schiele (CoRR, 2023)

Optimising for Interpretability: Convolutional Dynamic Alignment Networks. - Moritz Böhle; Mario Fritz; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Good Teachers Explain: Explanation-Enhanced Knowledge Distillation. - Amin Parchami-Araghi; Moritz Böhle; Sukrut Rao; Bernt Schiele (ECCV (73), 2024)

Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. - Sukrut Rao; Sweta Mahajan; Moritz Böhle; Bernt Schiele (ECCV (77), 2024)

B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable. - Shreyash Arya; Sukrut Rao; Moritz Böhle; Bernt Schiele (NeurIPS, 2024)

Towards designing inherently interpretable deep neural networks for image classification. - Moritz Böhle (2024)

B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers. - Moritz Böhle; Navdeeppal Singh; Mario Fritz; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Better Understanding Differences in Attribution Methods via Systematic Evaluations. - Sukrut Rao; Moritz Böhle; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations. - Siddhartha Gairola; Moritz Böhle; Francesco Locatello; Bernt Schiele (ICLR, 2025)

Vision-Speech Models: Teaching Speech Models to Converse about Images. - Amélie Royer; Moritz Böhle; Gabriel de Marmiesse; Laurent Mazaré; Neil Zeghidour; Alexandre Défossez; Patrick Pérez (CoRR, 2025)