Lechao Xiao - Concepedia

Author

Lechao Xiao

Google (United States)

Also Known As

Lechao Xiao, Mahajan, Kshiteej, Xiao, Lechao

Publications

960

Citations

H-Index

Concepts

All Affiliations

Google (United States)University of Pennsylvania Philadelphia University University of Cambridge

About

Lechao Xiao is an author at Google (United States) specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	14	581
2	Computer Science	10	10	502
3	Artificial Intelligence	7	7	414
4	Data Science	6	6	320
5	Computer Engineering	2	2	116

Lechao Xiao

Publications

836

Citations

H-Index

Page 1

	Year	Citations
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train\n 10,000-Layer Vanilla Convolutional Neural Networks Lechao Xiao, Yasaman Bahri, Jascha Sohl‐Dickstein, arXiv (Cornell University)	2018	175
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes Roman Novak, Lechao Xiao, Jaehoon Lee, arXiv (Cornell University) Artificial IntelligenceNeural Scaling LawConvolutional Neural NetworkBayesian StatisticEngineering	2018	169
Neural Tangents: Fast and Easy Infinite Neural Networks in Python Roman Novak, Lechao Xiao, Jiri Hron, International Conference on Learning Representations Artificial IntelligenceNeural TangentsGeometric LearningEngineeringMachine Learning	2020	59
Neural Tangents: Fast and Easy Infinite Neural Networks in Python Roman Novak, Lechao Xiao, Jiri Hron, arXiv (Cornell University) Artificial IntelligenceNeural TangentsInteractive Colab NotebookGeometric LearningEngineering	2019	57
Bayesian Deep Convolutional Networks with Many Channels are Gaussian\n Processes Roman Novak, Lechao Xiao, Jaehoon Lee, arXiv (Cornell University)	2018	48
Finite Versus Infinite Neural Networks: an Empirical Study Jaehoon Lee, Samuel S. Schoenholz, Jeffrey Pennington, Neural Information Processing Systems Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningWide Neural Networks	2020	43
Finite Versus Infinite Neural Networks: an Empirical Study Jaehoon Lee, Samuel S. Schoenholz, Jeffrey Pennington, arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningWide Neural Networks	2020	39
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, arXiv (Cornell University) Initialization SchemeGeometric LearningConvolutional Neural NetworkMachine VisionMachine Learning	2018	37
Uniform estimates for bilinear Hilbert transforms and bilinear maximal functions associated to polynomials Xiaochun Li, Lechao Xiao American Journal of Mathematics Spectral TheoryEngineeringInterpolation SpaceOrthogonal PolynomialUniform Estimates	2016	34
Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks Wei Hu, Lechao Xiao, Jeffrey Pennington arXiv (Cornell University) Artificial IntelligenceOrthogonal InitializationsMachine LearningData ScienceStandard Gaussian Initialization	2020	34

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