1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2026
On the Reliability of Generative Augmentation: A Wasserstein-Based Theoretical and Empirical Study
Chathurika S Abeykoon, Mathias Nthiani Muia, Mallory Goldstein
Generative data augmentation is widely used to mitigate class imbalance, yet its theoretical effect on downstream generalization remains poorly understood. In this work, we develop…
stat.ML2025★ 1 cited
The Double Descent Behavior in Two Layer Neural Network for Binary Classification
Chathurika S Abeykoon, Aleksandr Beknazaryan, Hailin Sang
Recent studies observed a surprising concept on model test error called the double descent phenomenon, where the increasing model complexity decreases the test error first and then…