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cs.LG2026
High Rank Matrix Completion via Grassmannian Proxy Fusion
Huanran Li, Jeremy Johnson, Daniel Pimentel-Alarcón
This paper approaches high-rank matrix completion (HRMC) by filling missing entries in a data matrix where columns lie near a union of subspaces, clustering these columns, and iden…
cs.LG2024
Preventing Collapse in Contrastive Learning with Orthonormal Prototypes (CLOP)
Huanran Li, Manh Nguyen, Daniel Pimentel-Alarcón
Contrastive learning has emerged as a powerful method in deep learning, excelling at learning effective representations through contrasting samples from different distributions. Ho…
cs.LG2022
Fusion Subspace Clustering for Incomplete Data
Usman Mahmood, Daniel Pimentel-Alarcón
This paper introduces {\em fusion subspace clustering}, a novel method to learn low-dimensional structures that approximate large scale yet highly incomplete data. The main idea is…