2 papers
stat.ML2026
A Unified Geometric Framework for Developmental Analysis of Spatial Transcriptomic Data
Mary Chriselda Antony Oliver, Kaitlyn Hohmeier, Tuyen Tran +3
High-throughput single-cell and spatial transcriptomic technologies provide high-resolution snapshots of heterogeneous cellular states, but their destructive nature prevents repeat…
cs.LG2025
Laplace Learning in Wasserstein Space
Mary Chriselda Antony Oliver, Michael Roberts, Carola-Bibiane Schönlieb +1
The manifold hypothesis posits that high-dimensional data typically resides on low-dimensional sub spaces. In this paper, we assume manifold hypothesis to investigate graph-based s…