Forest-Guided Semantic Transport for Label-Supervised Manifold Alignment

arXiv:2602.00974 · cs.LG · Submitted 2026-02-01 · Read on arXiv

cs.LG

Submitted: 2026-02-01

Updated: 2026-09-26

Terminology

• Alignment — 82× in this paper · explained in 1 episode
• Accuracy — 10× in this paper · explained in 1 episode
• Clustering — 9× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Optimal Transport — 5× in this paper · explained in 5 episodes
• Alignment Methods — 4× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Generative Model — 4× in this paper · explained in 2 episodes
• Generative Models — 4× in this paper · explained in 2 episodes
• Representation Learning — 4× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Curse of Dimensionality — 2× in this paper · explained in 6 episodes
• Domain Adaptation — 2× in this paper · explained in 5 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Multimodal Dataset — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Computational Biology — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Distribution Matching — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Multimodal Integration — 1× in this paper · explained in 2 episodes
• Multimodal Learning — 1× in this paper · explained in 2 episodes
• Optimal Transport (OT) — 1× in this paper · explained in 4 episodes
• Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
• Principal Component Regression — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Wasserstein Distance — 1× in this paper · explained in 4 episodes

Sources

• Revisiting Forest Proximities via Sparse Leaf-Incidence Kernels

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