Kuo Gai

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Primate Visual Cortex

Lower Dimensional

Manifold Learning

Dimension Reduction

Top Venues

Pattern Recognit.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Kuo Gai, Shihua Zhang
Tessellating the Latent Space for Non-Adversarial Generative Auto-Encoders. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Chihao Zhang, Kuo Gai, Shihua Zhang
Matrix normal PCA for interpretable dimension reduction and graphical noise modeling. Pattern Recognit. 154 (2024)
Sicong Wang, Kuo Gai, Shihua Zhang
Progressive Feedforward Collapse of ResNet Training. CoRR (2024)
Kuo Gai, Shihua Zhang
Analytical Solution of a Three-layer Network with a Matrix Exponential Activation Function. CoRR (2024)
Kuo Gai, Shihua Zhang
A Mathematical Principle of Deep Learning: Learn the Geodesic Curve in the Wasserstein Space. CoRR (2021)
Kuo Gai, Shihua Zhang
Tessellated Wasserstein Auto-Encoders. CoRR (2020)
Chihao Zhang, Kuo Gai, Shihua Zhang
Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling. CoRR (2019)