Moritz Böhle

According to our database, Moritz Böhle authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

Better Understanding Differences in Attribution Methods via Systematic Evaluations.

Sukrut Rao, Moritz Böhle, Bernt Schiele

IEEE Trans. Pattern Anal. Mach. Intell., June, 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., June, 2024

Towards designing inherently interpretable deep neural networks for image classification.

Moritz Böhle

PhD thesis, 2024

B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.

Shreyash Arya, Sukrut Rao, Moritz Böhle, Bernt Schiele

CoRR, 2024

Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery.

Sukrut Rao, Sweta Mahajan, Moritz Böhle, Bernt Schiele

Proceedings of the Computer Vision - ECCV 2024, 2024

Good Teachers Explain: Explanation-Enhanced Knowledge Distillation.

Amin Parchami-Araghi, Moritz Böhle, Sukrut Rao, Bernt Schiele

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Optimising for Interpretability: Convolutional Dynamic Alignment Networks.

Moritz Böhle, Mario Fritz, Bernt Schiele

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Holistically Explainable Vision Transformers.

Moritz Böhle, Mario Fritz, Bernt Schiele

CoRR, 2023

Temperature Schedules for self-supervised contrastive methods on long-tail data.

Anna Kukleva, Moritz Böhle, Bernt Schiele, Hilde Kuehne, Christian Rupprecht

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Studying How to Efficiently and Effectively Guide Models with Explanations.

Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, Bernt Schiele

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Towards Better Understanding Attribution Methods.

Sukrut Rao, Moritz Böhle, Bernt Schiele

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

B-cos Networks: Alignment is All We Need for Interpretability.

Moritz Böhle, Mario Fritz, Bernt Schiele

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Convolutional Dynamic Alignment Networks for Interpretable Classifications.

Moritz Böhle, Mario Fritz, Bernt Schiele

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021