Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning

Documenti analoghi

• Implicitly Normalized Online PCA: A Regularized Algorithm with Exact High-Dimensional Dynamics
  di: Demir, Samet, et al.
  Pubblicazione: (2025)
• Learnability and Competition in High-Dimensional Multi-Component ICA
  di: Genc, Eser Ilke, et al.
  Pubblicazione: (2026)
• Learning Rate Should Scale Inversely with High-Order Data Moments in High-Dimensional Online Independent Component Analysis
  di: Gultekin, M. Oguzhan, et al.
  Pubblicazione: (2025)
• Optimal Attention Temperature Improves the Robustness of In-Context Learning under Distribution Shift in High Dimensions
  di: Demir, Samet, et al.
  Pubblicazione: (2025)
• Learning Beyond the Gaussian Data: Learning Dynamics of Neural Networks on an Expressive and Cumulant-Controllable Data Model
  di: Ure, Onat, et al.
  Pubblicazione: (2026)