Andrew Saxe - Concepedia

Author

Andrew Saxe

Stanford University ORCID

Also Known As

A. M. Saxe, Andrew M Saxe, Andrew M. Saxe, Andrew Saxe, Kai Sandbrink, Saxe, Andrew, Saxe, Andrew M, Saxe, Andrew M.

116

Publications

5.7K

Citations

H-Index

Concepts

All Affiliations

Stanford University University of Oxford Canadian Institute for Advanced Research University College London Harvard University

About

Andrew Saxe is an author at Stanford University specializing in social sciences, cognitive science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Social Sciences	12	12	744
2	Engineering	11	11	1.9K
3	Education	3	3	88
4	Management	2	2	198
5	Language Studies	1	1	239

Andrew Saxe

Publications

Citations

H-Index

Page 1

	Year	Citations
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks Andrew Saxe, James L. McClelland, Surya Ganguli arXiv (Cornell University) EngineeringMachine LearningAutoencodersRecurrent Neural NetworkData Science	2013	1K
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks Andrew Saxe, James L. McClelland, Surya Ganguli International Conference on Learning Representations EngineeringMachine LearningAutoencodersAi FoundationRecurrent Neural Network	2014	343
Measuring Invariances in Deep Networks Ian Goodfellow, Honglak Lee, Quoc V. Le,	2009	342
On Random Weights and Unsupervised Feature Learning Andrew Saxe, Pang Wei Koh, Zhenghao Chen,	2011	334
Orthogonal representations for robust context-dependent task performance in brains and neural networks Timo Flesch, Keno Juechems, Tsvetomira Dumbalska, Neuron	2022	248
A mathematical theory of semantic development in deep neural networks Andrew Saxe, James L. McClelland, Surya Ganguli Proceedings of the National Academy of Sciences Artificial IntelligenceMachine LearningNeurolinguisticsSemantic ProcessingAi Foundation	2019	239
Qualitatively characterizing neural network optimization problems Ian Goodfellow, Oriol Vinyals, Andrew Saxe arXiv (Cornell University) Mathematical ProgrammingArtificial IntelligenceModel OptimizationEvolving Neural NetworkEngineering	2014	200
Acquisition of decision making criteria: reward rate ultimately beats accuracy Patrick Simen, Ritwik K. Niyogi, Andrew Saxe, Attention Perception & Psychophysics Cognitive ScienceBehavioral SciencesExperimental Decision MakingBehavioral Decision MakingExperimental Psychology	2010	168
Qualitatively characterizing neural network optimization problems Ian Goodfellow, Oriol Vinyals, Andrew Saxe arXiv (Cornell University) Mathematical ProgrammingArtificial IntelligenceModel OptimizationEvolving Neural NetworkEngineering	2015	161
High-dimensional dynamics of generalization error in neural networks Madhu Advani, Andrew Saxe Neural Networks	2020	142

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