# Papers

Author: Zhenzhao Tu

I have not published much yet. These are papers I keep on the desk, mostly around the lazy–rich transition. The working notes they feed are under [network richness](/research/network-richness/).

- Lénaïc Chizat, Edouard Oyallon, and Francis Bach. [On Lazy Training in Differentiable Programming](https://arxiv.org/abs/1812.07956). NeurIPS, 2019. arXiv:1812.07956.
- Arthur Jacot, Franck Gabriel, and Clément Hongler. [Neural Tangent Kernel: Convergence and Generalization in Neural Networks](https://arxiv.org/abs/1806.07572). NeurIPS, 2018. arXiv:1806.07572.
- Dhruva Karkada. [The lazy (NTK) and rich (μP) regimes: a gentle tutorial](https://arxiv.org/abs/2404.19719). 2024. arXiv:2404.19719.
- Greg Yang and Edward J. Hu. [Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks](https://arxiv.org/abs/2011.14522). ICML, 2021. arXiv:2011.14522.
- Mario Geiger, Stefano Spigler, Arthur Jacot, and Matthieu Wyart. [Disentangling feature and lazy training in deep neural networks](https://arxiv.org/abs/1906.08034). 2020. arXiv:1906.08034.