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Lechao Xiao

Observed name: Xiao, Lechao
OpenAlex ID: A5113791670
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
2018 · Novak, Roman, Xiao, Lechao, et al. · arXiv (Cornell University) · 188
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Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
2018 · Xiao, Lechao, Bahri, Yasaman, et al. · arXiv (Cornell University) · 166
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Neural Tangents: Fast and Easy Infinite Neural Networks in Python
2019 · Novak, Roman, Xiao, Lechao, et al. · arXiv (Cornell University) · 100
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Dataset Distillation with Infinitely Wide Convolutional Networks
2021 · Nguyen, Timothy, Novak, Roman, et al. · arXiv (Cornell University) · 88
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Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks
2020 · Hu, Wei, Xiao, Lechao, et al. · arXiv (Cornell University) · 85
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Finite Versus Infinite Neural Networks: an Empirical Study
2020 · Lee, Jaehoon, Schoenholz, Samuel S., et al. · arXiv (Cornell University) · 79
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Uniform estimates for bilinear Hilbert transforms and bilinear maximal functions associated to polynomials
2016 · Xiaochun Li, Lechao Xiao · American Journal of Mathematics · 31
Disentangling Trainability and Generalization in Deep Learning
2019 · Lechao Xiao, Jeffrey Pennington, et al. · arXiv (Cornell University) · 19
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks
2020 · Hu, Wei, Xiao, Lechao, et al. · arXiv (Cornell University) · 17
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Maximal decay inequalities for trilinear oscillatory integrals of convolution type
2016 · Philip T. Gressman, Lechao Xiao · Journal of Functional Analysis · 17
Endpoint estimates for one-dimensional oscillatory integral operators
2017 · Lechao Xiao · Advances in Mathematics · 16
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Bilinear Hilbert Transforms Associated with Plane Curves
2015 · Jingwei Guo, Lechao Xiao · Journal of Geometric Analysis · 13
Bayesian Convolutional Neural Networks with Many Channels are Gaussian Processes.
2018 · Roman Novak, Lechao Xiao, et al. · arXiv (Cornell University) · 11
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
2023 · Singh, Avi, Co-Reyes, John D., et al. · arXiv (Cornell University) · 10
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Higher decay inequalities for multilinear oscillatory integrals
2018 · Maxim Gilula, Philip T. Gressman, et al. · Mathematical Research Letters · 10
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Sharp estimates for trilinear oscillatory integrals and an algorithm of two-dimensional resolution of singularities
2017 · Lechao Xiao · Revista Matemática Iberoamericana · 9
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Gemma 4 Technical Report
2026 · Gemma Team, Abd, Sherif El, et al. · arXiv (Cornell University) · 8
Fast Neural Kernel Embeddings for General Activations
2022 · Insu Han, Amir Zandieh, et al. · neural information processing systems · 7
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Precise learning curves and higher-order scaling limits for dot-product kernel regression *
2023 · Lechao Xiao, Hong Hu, et al. · Journal of Statistical Mechanics Theory and Experiment · 5
Small-scale proxies for large-scale Transformer training instabilities
2023 · Wortsman, Mitchell, Liu, Peter J., et al. · arXiv (Cornell University) · 5
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Uniform estimates for bilinear Hilbert transform and bilinear maximal functions associated to polynomials
2013 · Li, Xiaochun, Xiao, Lechao · arXiv (Cornell University) · 5
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Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
2022 · Xiao, Lechao, Pennington, Jeffrey · arXiv (Cornell University) · 4
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Eigenspace Restructuring: a Principle of Space and Frequency in Neural Networks
2021 · Xiao, Lechao · arXiv (Cornell University) · 4
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Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit
2020 · Adlam, Ben, Lee, Jaehoon, et al. · arXiv (Cornell University) · 4
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Rethinking Conventional Wisdom in Machine Learning: From Generalization to Scaling
2024 · Xiao, Lechao · arXiv (Cornell University) · 2
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Works count: 39
Citation count: 911
H-index: 12
I10-index: 15
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