Harlin Lee

collaborators

4 papers

cs.LG2026

Uncovering Trajectory and Topological Signatures in Multimodal Pediatric Sleep Embeddings

Scott Ye, Harlin Lee

While generative models have shown promise in pediatric sleep analysis, the latent structure of their multimodal embeddings remains poorly understood. This work investigates sessio…

cs.LG2026

Fused Gromov-Wasserstein Distance with Feature Selection

Harlin Lee, Ying Yu, Mingxin Li +1

Fused Gromov-Wasserstein (FGW) distances provide a principled framework for comparing objects by jointly aligning structure and node features. However, existing FGW formulations tr…

cs.LG2025

Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging

Amartya Banerjee, Harlin Lee, Nir Sharon +1

Capturing data from dynamic processes through cross-sectional measurements is seen in many fields, such as computational biology. Trajectory inference deals with the challenge of r…

cs.CG2025

$O (k)$ -Equivariant Dimensionality Reduction on Stiefel Manifolds

Andrew Lee, Harlin Lee, Jose A. Perea +2

Many real-world datasets live on high-dimensional Stiefel and Grassmannian manifolds, $V_{k} (R^{N})$ and $G r (k, R^{N})$ respectively, and benefit from projection onto l…

Uncovering Trajectory and Topological Signatures in Multimodal Pediatric Sleep Embeddings

Fused Gromov-Wasserstein Distance with Feature Selection

Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging

O(k)-Equivariant Dimensionality Reduction on Stiefel Manifolds

$O (k)$ -Equivariant Dimensionality Reduction on Stiefel Manifolds