Lin, Ya-Wei Eileen

1. Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
   2023/05/30 by Ya-Wei Eileen Lin, Ronald R. Coifman, Lin, Ya-Wei Eileen +5 · 3 citations
   Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
   2024/10/28 by Lin, Ya-Wei Eileen, Coifman, Ronald R., Mishne, Gal +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
   2025/03/23 by Thomas Dagès, Dagès, Thomas, Simon Weber +14 · 1 voice · 1 citation
   Computer Science · Mathematics · #Advanced Graph Neural Networks #Morphological variations and asymmetry #Topological and Geometric Data Analysis #cs.CV