Reduan Achtibat

According to our database, Reduan Achtibat authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Attribution-guided Pruning for Compression, Circuit Discovery, and Targeted Correction in LLMs.

Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Reduan Achtibat, Patrick Kahardipraja, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

CoRR, June, 2025

The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation.

Patrick Kahardipraja, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

CoRR, May, 2025

2024

Explainable Concept Mappings of MRI: Revealing the Mechanisms Underlying Deep Learning-Based Brain Disease Classification.

Christian Tinauer, Anna Damulina, Maximilian Sackl, Martin Soellradl, Reduan Achtibat, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Reinhold Schmidt, Stefan Ropele, Wojciech Samek, Christian Langkammer

Proceedings of the Explainable Artificial Intelligence, 2024

AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers.

Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Aakriti Jain, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Pruning by Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers.

Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations.

Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

From attribution maps to human-understandable explanations through Concept Relevance Propagation.

Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, Sebastian Bosse, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

Nat. Mac. Intell., September, 2023

Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations.

Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

From "Where" to "What": Towards Human-Understandable Explanations through Concept Relevance Propagation.

Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, Sebastian Bosse, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

CoRR, 2022