Author

Jake S. Rhodes

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#machine learning Feb 2026

Forest-Guided Semantic Transport for Label-Supervised Manifold Alignment

FoSTA (Forest-guided Semantic Transport Alignment), which learns supervised forest geometries independently within each domain and uses their shared class-semantic structure to infer cross-domain correspondences without predefined anchors through scalable hierarchical transport.

Adrien Aumon, Myriam Lizotte, Guy Wolf et al. · arXiv.org · 0 citations

#machine learning Preprint Nov 2025

Freeze, Diffuse, Decode: Task-Aware Adaptation of Transformer Embeddings for Antimicrobial Peptide Design

Freeze, Diffuse, Decode (FDD), a novel diffusion-based framework that adapts pre-trained embeddings to downstream tasks while preserving their underlying geometric structure, is introduced.

Pankhil Gawade, Adam Izdebski, Myriam Lizotte et al. · 0 citations