1 citations · 2 across the 6 of their papers we have counts for
6 papers
Image, Word and Thought: A More Challenging Language Task for the Iterated Learning Model
Hyoyeon Lee, Seth Bullock, Conor Houghton
The iterated learning model simulates the transmission of language from generation to generation in order to explore how the constraints imposed by language transmission facilitate…
PULSE-ICU: A Pretrained Unified Long-Sequence Encoder for Multi-task Prediction in Intensive Care Units
Sejeong Jang, Joo Heung Yoon, Hyo Kyung Lee
Intensive care unit (ICU) data are highly irregular, heterogeneous, and temporally fragmented, posing challenges for generalizable clinical prediction. We present PULSE-ICU, a self…
Mind the Missing: Variable-Aware Representation Learning for Irregular EHR Time Series using Large Language Models
Jeong Eul Kwon, Joo Heung Yoon, Hyo Kyung Lee
Irregular sampling and high missingness are intrinsic challenges in modeling time series derived from electronic health records (EHRs),where clinical variables are measured at unev…
Frictional Q-Learning
Hyunwoo Kim, Hyo Kyung Lee
Off-policy reinforcement learning suffers from extrapolation errors when a learned policy selects actions that are weakly supported in the replay buffer. In this study, we address…
Flashback: Memory-Driven Zero-shot, Real-time Video Anomaly Detection
Hyogun Lee, Haksub Kim, Ig-Jae Kim +1
Video Anomaly Detection (VAD) automatically identifies anomalous events from video, mitigating the need for human operators in large-scale surveillance deployments. However, two fu…
WoLF: Wide-scope Large Language Model Framework for CXR Understanding
Seil Kang, Donghyun Kim, Junhyeok Kim +2
Significant methodological strides have been made toward Chest X-ray (CXR) understanding via modern vision-language models (VLMs), demonstrating impressive Visual Question Answerin…