2 papers
cs.CV2025
MIS-LSTM: Multichannel Image-Sequence LSTM for Sleep Quality and Stress Prediction
Seongwan Park, Jieun Woo, Siheon Yang
This paper presents MIS-LSTM, a hybrid framework that joins CNN encoders with an LSTM sequence model for sleep quality and stress prediction at the day level from multimodal lifelo…
cs.IR2025
Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense Retrieval
Seongwan Park, Taeklim Kim, Youngjoong Ko
Despite their strong performance, Dense Passage Retrieval (DPR) models suffer from a lack of interpretability. In this work, we propose a novel interpretability framework that leve…