28 citations · 28 across the 4 of their papers we have counts for
4 papers
Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift
Sungjun Lim, Heedong Kim, Andrew Lee +1
Mechanistic interpretability aims to explain a model's behavior by identifying causally responsible internal structures. Dictionary-based explainers such as sparse autoencoders and…
Local Representative Token Guided Merging for Text-to-Image Generation
Min-Jeong Lee, Hee-Dong Kim, Seong-Whan Lee
Stable diffusion is an outstanding image generation model for text-to-image, but its time-consuming generation process remains a challenge due to the quadratic complexity of attent…
Pioneering EEG Motor Imagery Classification Through Counterfactual Analysis
Kang Yin, Hye-Bin Shin, Hee-Dong Kim +1
The application of counterfactual explanation (CE) techniques in the realm of electroencephalography (EEG) classification has been relatively infrequent in contemporary research. I…
Counterfactual Explanation Based on Gradual Construction for Deep Networks
Hong-Gyu Jung, Sin-Han Kang, Hee-Dong Kim +2
To understand the black-box characteristics of deep networks, counterfactual explanation that deduces not only the important features of an input space but also how those features…