Wojciech Samek

Venues

Frequent coauthors

Papers

1. From Weights to Activations: Is Steering the Next Frontier of Adaptation?
   ACL 2026 ·

   Simon Ostermann

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2. Leveraging Sparsity for Privacy in Collaborative Inference
   WACV 2026 ·

   Maximilian Andreas Hoefler

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3. Benchmarking Uncertainty and Its Disentanglement in Multi-label Chest X-Ray Classification
   MICCAI 2025 ·

   Simon Baur

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4. Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers
   NeurIPS 2025 ·

   Johanna Vielhaben

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5. FADE: Why Bad Descriptions Happen to Good Features
   ACL 2025 ·

   Bruno Puri

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6. FedXDS: Leveraging Model Attribution Methods to Counteract Data Heterogeneity in Federated Learning
   ICCV 2025 ·

   Maximilian Andreas Hoefler

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7. Fractional Diffusion Bridge Models
   NeurIPS 2025 ·

   Gabriel Nobis

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8. Guided Active Learning for Medical Image Segmentation
   MICCAI 2025 ·

   Bernhard Föllmer

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9. Human-Centric AI: From Explainability and Trustworthiness to Actionable Ethics
   CIKM 2025 ·

   Jaesik Choi

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10. Model Science: Getting Serious About Verification, Explanation and Control of AI Systems
    ECAI 2025 ·

    Przemyslaw Biecek

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11. Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
    ICLR 2025 ·

    Frederik Pahde

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12. Relevance-Guided Activation Sparsification for Bandwidth-Efficient Collaborative Inference
    ICCV 2025 ·

    Maximilian Andreas Hoefler

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13. The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
    NeurIPS 2025 ·

    Patrick Kahardipraja

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14. AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
    ICML 2024 ·

    Reduan Achtibat

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15. From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space
    AAAI 2024 ·

    Maximilian Dreyer

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16. Generative Fractional Diffusion Models
    NeurIPS 2024 ·

    Gabriel Nobis

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17. Position: Explain to Question not to Justify
    ICML 2024 ·

    Przemyslaw Biecek

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18. Pruning by Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers
    ECCV 2024 ·

    Sayed Mohammad Vakilzadeh Hatefi

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19. Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression
    CVPR 2024 ·

    Dilyara Bareeva

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20. Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization
    ECCV 2024 ·

    Rohan Reddy Mekala

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21. Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations
    CVPR 2024 ·

    Maximilian Dreyer

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22. XAI-Guided Insulator Anomaly Detection for Imbalanced Datasets
    ECCV 2024 ·

    Maximilian Andreas Hoefler

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