Reduan Achtibat

15 papers A* 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Attribution-Guided Decoding.
CoRR
Piotr Komorowski, Elena Golimblevskaia, Reduan Achtibat, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek
2025 J jnl
Attribution-guided Pruning for Compression, Circuit Discovery, and Targeted Correction in LLMs.
CoRR
Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Reduan Achtibat, Patrick Kahardipraja, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2025 J jnl
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation.
CoRR
Patrick Kahardipraja, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2024 A* conf
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers.
ICML
Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Aakriti Jain, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek
2024 J jnl
AttnLRP: Attention-Aware Layer-wise Relevance Propagation for Transformers.
CoRR
Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Aakriti Jain, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek
2024 — conf
Explainable Concept Mappings of MRI: Revealing the Mechanisms Underlying Deep Learning-Based Brain Disease Classification.
xAI (2)
Christian Tinauer, Anna Damulina, Maximilian Sackl, Martin Soellradl, Reduan Achtibat, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Reinhold Schmidt, Stefan Ropele, Wojciech Samek, Christian Langkammer
2024 J jnl
Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification.
CoRR
Christian Tinauer, Anna Damulina, Maximilian Sackl, Martin Soellradl, Reduan Achtibat, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Reinhold Schmidt, Stefan Ropele, Wojciech Samek, Christian Langkammer
2024 J jnl
Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers.
CoRR
Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2024 — conf
Pruning by Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers.
ECCV Workshops (21)
Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2024 — conf
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations.
CVPR Workshops
Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin
2023 J jnl
From attribution maps to human-understandable explanations through Concept Relevance Propagation.
Nat. Mac. Intell.
Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, Sebastian Bosse, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2023 — conf
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations.
CVPR Workshops
Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2023 J jnl
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations.
CoRR
Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin
2022 J jnl
From "Where" to "What": Towards Human-Understandable Explanations through Concept Relevance Propagation.
CoRR
Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, Sebastian Bosse, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2022 J jnl
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations.
CoRR
Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin