2 papers
stat.ML2025
MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts
Jihye Lee, Minseo Kang, Dongha Kim
The presence of missing values often reflects variations in data collection policies, which may shift across time or locations, even when the underlying feature distribution remain…
quant-ph2024
Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension
Changwon Lee, Israel F. Araujo, Dongha Kim +4
Quantum convolutional neural networks (QCNNs) represent a promising approach in quantum machine learning, paving new directions for both quantum and classical data analysis. This a…