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Maximilian Dreyer

Observed name: Dreyer, Maximilian
ORCID: 0009-0007-9069-6265
Observed ORCID: 0009-0007-9069-6265
OpenAlex ID: A5085326398
From attribution maps to human-understandable explanations through Concept Relevance Propagation
2023 · Reduan Achtibat, Maximilian Dreyer, et al. · Nature Machine Intelligence · 181
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Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations
2023 · Maximilian Dreyer, Reduan Achtibat, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 28
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Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models
2023 · Frederik Pahde, Maximilian Dreyer, et al. · Lecture notes in computer science · 22
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Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations
2024 · Maximilian Dreyer, Reduan Achtibat, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 16
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AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
2024 · Achtibat, Reduan, Hatefi, Sayed Mohammad Vakilzadeh, et al. · arXiv (Cornell University) · 12
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From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space
2024 · Maximilian Dreyer, Frederik Pahde, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 9
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ECQ$$^{\text {x}}$$: Explainability-Driven Quantization for Low-Bit and Sparse DNNs
2022 · Daniel Becking, Maximilian Dreyer, et al. · Lecture notes in computer science · 8
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Pruning by Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers
2025 · Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, et al. · Lecture notes in computer science · 7
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Exploring the clinical value of concept-based AI explanations in gastrointestinal disease detection
2025 · Andrea M. Storås, Maximilian Dreyer, et al. · Scientific Reports · 5
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Explainable Concept Mappings of MRI: Revealing the Mechanisms Underlying Deep Learning-Based Brain Disease Classification
2024 · Christian Tinauer, Anna Damulina, et al. · Communications in computer and information science · 4
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ECQ x : Explainability-Driven Quantization for Low-Bit and Sparse DNNs.
2021 · Daniel Becking, Maximilian Dreyer, et al. · arXiv (Cornell University) · 4
Mechanistic understanding and validation of large AI models with SemanticLens
2025 · Dreyer, Maximilian, Berend, Jim, et al. · arXiv (Cornell University) · 2
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Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression
2024 · Dilyara Bareeva, Maximilian Dreyer, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2
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PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits
2024 · Dreyer, Maximilian, Purelku, Erblina, et al. · arXiv (Cornell University) · 2
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ResLRP: The Role of Residual Cancellation in Attribution Instability in Vision Transformers
2026 · Berend, Jim, Achtibat, Reduan, et al. · arXiv (Cornell University)
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Safety Signals to Verify NetOps Agents with Action-Level Granularity
2026 · Labarta, Tobias, Pahde, Frederik, et al. · arXiv (Cornell University)
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ICON decomposition: Multivariate concept auditing reveals shortcuts that neural networks rely on
2026 · Rane, Roshan Prakash, Simnacher, Marco, et al. · arXiv (Cornell University)
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Concept-based explanation of gene expression prediction from H&E images
2026 · Muench, Amos, Thielmann, Jonathan, et al. · arXiv (Cornell University)
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Contrastive Semantic Projection: Faithful Neuron Labeling with Contrastive Examples
2026 · Bouanani, Oussama, Berend, Jim, et al. · arXiv (Cornell University)
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Interpretability-guided Probing for Diagnosing and Mitigating Failure Modes in CLIP - Supplementary Materials
2026 · Dreyer, Maximilian, Hufe, Lorenz, et al. · Mendeley Data
From Attribution to Action: A Human-Centered Application of Activation Steering
2026 · Labarta, Tobias, Dreyer, Maximilian, et al. · arXiv (Cornell University)
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X-SYS: A Reference Architecture for Interactive Explanation Systems
2026 · Labarta, Tobias, Hoang, Nhi, et al. · arXiv (Cornell University)
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From local explanations to comprehensive mechanistic understanding of deep vision models
2026 · Dreyer, Maximilian
Interpretability-Guided Probing for Diagnosing and Mitigating Failure Modes in CLIP
2026 · Wojciech Samek, Maximilian Dreyer, et al. · SSRN Electronic Journal
Dyslexify: A Mechanistic Defense Against Typographic Attacks in CLIP
2025 · Hufe, Lorenz, Venhoff, Constantin, et al. · arXiv (Cornell University)
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Works count: 34
Citation count: 319
H-index: 8
I10-index: 6
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