Hyesu Lim
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  • Publications
    • VisualScratchpad: Grounding Visual Concepts in Large Vision Language Models
    • ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
    • CytoSAE: Interpretable Cell Embeddings for Hematology
    • Sparse Autoencoders Reveal Selective Remapping of Visual Concepts During Adaptation
    • Towards Calibrated Robust Fine-Tuning of Vision-Language Models
    • TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
    • AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain

CytoSAE: Interpretable Cell Embeddings for Hematology

October 1, 2025·
Muhammed Furkan Dasdelen
,
Hyesu Lim
,
Michele Buck
,
Katharina S. Götze
,
Carsten Marr
,
Steffen Schneider
· 0 min read
PDF Code Poster
projects interpretability
Last updated on October 1, 2025
Sparse Autoencoders Medical Imaging Hematology
← ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts December 1, 2025
Sparse Autoencoders Reveal Selective Remapping of Visual Concepts During Adaptation April 1, 2025 →

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