Dreyer, Maximilian

7 publications

ICLR 2025 Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence Frederik Pahde, Maximilian Dreyer, Moritz Weckbecker, Leander Weber, Christopher J. Anders, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

ICML 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

AAAI 2024 From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin

ECCVW 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

CVPRW 2024 Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression Dilyara Bareeva, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sebastian Lapuschkin

CVPRW 2024 Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-Based Explanations Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin

CVPRW 2023 Revealing Hidden Context Bias in Segmentation and Object Detection Through Concept-Specific Explanations Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin