3 papers
cs.LG2026
Invertible Logits Transformation for Accuracy-Preserving Post-Hoc Uncertainty Calibration
Lening Zhao, Qipeng Zhan, Li Shen
Post-hoc calibration aligns a classifier's predicted confidences with its empirical accuracy without retraining. An ideal calibrator should correct nonlinear miscalibration, scale…
cs.LG2026
Bi-Lipschitz Autoencoder With Injectivity Guarantee
Qipeng Zhan, Zhuoping Zhou, Zexuan Wang +2
Autoencoders are widely used for dimensionality reduction, based on the assumption that high-dimensional data lies on low-dimensional manifolds. Regularized autoencoders aim to pre…
cs.LG2025
Multi-Scale Geometric Autoencoder
Qipeng Zhan, Zhuoping Zhou, Zexuan Wang +1
Autoencoders have emerged as powerful models for visualization and dimensionality reduction based on the fundamental assumption that high-dimensional data is generated from a low-d…