2 papers
math.NA2025
Forward Euler for Wasserstein Gradient Flows: Breakdown and Regularization
Yewei Xu, Qin Li
Wasserstein gradient flows have become a central tool for optimization problems over probability measures. A natural numerical approach is forward-Euler time discretization. We sho…
cs.LG2025
Correcting Noisy Multilabel Predictions: Modeling Label Noise through Latent Space Shifts
Weipeng Huang, Qin Li, Yang Xiao +5
Noise in data appears to be inevitable in most real-world machine learning applications and would cause severe overfitting problems. Not only can data features contain noise, but l…