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cs.LG2026
On the Asymptotics of Self-Supervised Pre-training: Two-Stage M-Estimation and Representation Symmetry
Mohammad Tinati, Stephen Tu
Self-supervised pre-training, where large corpora of unlabeled data are used to learn representations for downstream fine-tuning, has become a cornerstone of modern machine learnin…
cs.LG2024
Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem
Hesameddin Mohammadi, Mohammad Tinati, Stephen Tu +2
The symmetric low-rank matrix factorization serves as a building block in many learning tasks, including matrix recovery and training of neural networks. However, despite a flurry…