Conference Publications
Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept Representations
Dahee Kwon, Sehyun Lee and Jaesik Choi
ICCV 2025
Enhancing Creative Generation on Stable Diffusion-based Models
Jiyeon Han, Dahee Kwon and Jaesik Choi
CVPR 2025
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision
Wonjoon Chang, Dahee Kwon and Jaesik Choi
AAAI 2024 (Oral)
Under Review
Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulation
Dahee Kwon, Haeun Lee and Jaesik Choi
Under Review, ICML 2026
Causal Path Tracing in Transformers
Won Jo, Dahee Kwon, Jongeun Baek, Cheongwoong Kang and Jaesik Choi
Under Review, ICML 2026
SPICE: Simple Polysemantic Feature Interpretation via Clustering-based Explanations
Sehyun Lee, Dahee Kwon, Damin Lee and Jaesik Choi
Under Review, ECCV 2026
Preprints
MAC: Memory-Augmented Contrastive Learning for Time Series Anomaly Detection
Dahee Kwon, Enver Menadjiev, Qin Xie and Jaesik Choi
Preprint
Dual Masking for Domain Generalization
Dahee Kwon and Jaesik Choi
Preprint