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Hyesu Lim

Postdoctoral Researcher

Latest

ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts

ConceptScope is a scalable and automated framework for analyzing visual datasets by discovering and quantifying human-interpretable …

CytoSAE: Interpretable Cell Embeddings for Hematology

CytoSAE is a sparse autoencoder for interpretable cell embeddings in hematology, enabling discovery of morphologically relevant …

Sparse Autoencoders Reveal Selective Remapping of Visual Concepts During Adaptation

PatchSAE is a framework to extract interpretable concepts and their spatial attributions in vision transformers.