1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Guided Manifold Alignment with Geometry-Regularized Twin Autoencoders
Jake S. Rhodes, Adam G. Rustad, Marshall S. Nielsen +3
Manifold alignment (MA) involves a set of techniques for learning shared representations across domains, yet many traditional MA methods are incapable of performing out-of-sample e…
cs.LG2024
Random Forest-Supervised Manifold Alignment
Jake S. Rhodes, Adam G. Rustad
Manifold alignment is a type of data fusion technique that creates a shared low-dimensional representation of data collected from multiple domains, enabling cross-domain learning a…
stat.ML2024★ 1 cited
Graph Integration for Diffusion-Based Manifold Alignment
Jake S. Rhodes, Adam G. Rustad
Data from individual observations can originate from various sources or modalities but are often intrinsically linked. Multimodal data integration can enrich information content co…