2026
BEYOND MAPPING : DOMAIN-INVARIANT REPRESENTATIONS VIA SPECTRAL EMBEDDING OF OPTIMAL TRANSPORT PLANS
ICASSP 2026poster
Distributional shifts between training and inference time data remain a central challenge in machine learning, often leading to poor performance. It motivated the study of principled approaches for domain alignment, such as optimal transport based unsupervised domain adaptation, that relies on appro…