Lechao Xiao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
3
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks. | Shikai Qiu, Lechao Xiao, Andrew Gordon Wilson, Jeffrey Pennington, Atish Agarwala |
| 2024 | ICLR | Small-scale proxies for large-scale Transformer training instabilities. | Mitchell Wortsman, Peter J. Liu, Lechao Xiao, Katie E. Everett, Alexander A. Alemi, Ben Adlam, John D. Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith |
| 2024 | ICML | Scaling Exponents Across Parameterizations and Optimizers. | Katie E. Everett, Lechao Xiao, Mitchell Wortsman, Alexander A. Alemi, Roman Novak, Peter J. Liu, Izzeddin Gur, Jascha Sohl-Dickstein, Leslie Pack Kaelbling, Jaehoon Lee, Jeffrey Pennington |
| 2022 | COLT | Eigenspace Restructuring: A Principle of Space and Frequency in Neural Networks. | Lechao Xiao |
| 2022 | ICML | Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm. | Lechao Xiao, Jeffrey Pennington |
| 2021 | ICLR | Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit. | Ben Adlam, Jaehoon Lee, Lechao Xiao, Jeffrey Pennington, Jasper Snoek |
| 2020 | ICLR | Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks. | Wei Hu, Lechao Xiao, Jeffrey Pennington |
| 2020 | ICLR | Neural Tangents: Fast and Easy Infinite Neural Networks in Python. | Roman Novak, Lechao Xiao, Jiri Hron, Jaehoon Lee, Alexander A. Alemi, Jascha Sohl-Dickstein, Samuel S. Schoenholz |
| 2020 | ICML | Disentangling Trainability and Generalization in Deep Neural Networks. | Lechao Xiao, Jeffrey Pennington, Samuel Stern Schoenholz |
| 2019 | ICLR | Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes. | Roman Novak, Lechao Xiao, Yasaman Bahri, Jaehoon Lee, Greg Yang, Jiri Hron, Daniel A. Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein |
| 2018 | ICML | Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks. | Lechao Xiao, Yasaman Bahri, Jascha Sohl-Dickstein, Samuel S. Schoenholz, Jeffrey Pennington |