Research map / Optimization / Implicit bias and generalization
Spectral Evolution and Invariance in Linear-width Neural Networks
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail (ICML 2026 · similarity 0.90)
- Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime (ICLR 2026 · similarity 0.90)
- Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks (NeurIPS 2020 · similarity 0.90)
- Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra (ICLR 2025 · similarity 0.88)
- Models of Heavy-Tailed Mechanistic Universality (ICML 2025 · similarity 0.87)
- Eigen Analysis of Conjugate Kernel and Neural Tangent Kernel (ICML 2025 · similarity 0.87)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.