2 papers
math.ST2025
Robust Alignment via Partial Gromov-Wasserstein Distances
Xiaoyun Gong, Sloan Nietert, Ziv Goldfeld
The Gromov-Wasserstein (GW) problem provides a powerful framework for aligning heterogeneous datasets by matching their internal structures in a way that minimizes distortion. Howe…
cs.LG2024
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction
Dazhou Yu, Xiaoyun Gong, Yun Li +2
Multi-source spatial point data prediction is crucial in fields like environmental monitoring and natural resource management, where integrating data from various sensors is the ke…