3 papers
cs.LG2026
Semi-Supervised Learning with Noisy Proxy Covariates: Generalization Bounds and Distribution Regression
Kwangho Kim, Jisu Kim
In many modern machine learning pipelines, abundant pretrained representations serve as noisy proxy covariates, while task-specific labels remain scarce. We study semi-supervised r…
cs.CV2026
Morphology-Guided Cross-Task Coupling for Joint Building Height and Footprint Estimation
Jinzhen Han, JinByeong Lee, Jisung Kim +1
Building height (BH) and building footprint (BF) jointly describe the vertical and horizontal extent of the built environment and are required inputs for urban climate, disaster-ri…
math.ST2026
Subsampling Confidence Bound for Persistent Diagram via Time-delay Embedding
Donghyun Park, Junhyun An, Taehyoung Kim +1
Time-delay embedding is a fundamental technique in Topological Data Analysis (TDA) for reconstructing the phase space dynamics of time-series data. Persistent homology effectively…