Exact solutions to the nonlinear dynamics of learning in deep linear neural networks AM Saxe, JL McClelland, S Ganguli arXiv preprint arXiv:1312.6120, 2013 | 638 | 2013 |

Measuring invariances in deep networks I Goodfellow, H Lee, QV Le, A Saxe, AY Ng Advances in neural information processing systems, 646-654, 2009 | 344 | 2009 |

On random weights and unsupervised feature learning. AM Saxe, PW Koh, Z Chen, M Bhand, B Suresh, AY Ng ICML 2 (3), 6, 2011 | 310 | 2011 |

Qualitatively characterizing neural network optimization problems IJ Goodfellow, O Vinyals, AM Saxe arXiv preprint arXiv:1412.6544, 2014 | 186 | 2014 |

Acquisition of decision making criteria: reward rate ultimately beats accuracy F Balci, P Simen, R Niyogi, A Saxe, JA Hughes, P Holmes, JD Cohen Attention, Perception, & Psychophysics 73 (2), 640-657, 2011 | 136 | 2011 |

On the information bottleneck theory of deep learning AM Saxe, Y Bansal, J Dapello, M Advani, A Kolchinsky, BD Tracey, ... | 87 | 2018 |

Deterministic matrices matching the compressed sensing phase transitions of Gaussian random matrices H Monajemi, S Jafarpour, M Gavish, DL Donoho, ... Proceedings of the National Academy of Sciences 110 (4), 1181-1186, 2013 | 79 | 2013 |

Unsupervised learning models of primary cortical receptive fields and receptive field plasticity A Saxe, M Bhand, R Mudur, B Suresh, AY Ng Shawe-Taylor, J.; Zemel, R.; Bartlett, P, 2011 | 55 | 2011 |

High-dimensional dynamics of generalization error in neural networks MS Advani, AM Saxe arXiv preprint arXiv:1710.03667, 2017 | 50 | 2017 |

Learning hierarchical category structure in deep neural networks AM Saxe, JL McClelland, S Ganguli Proceedings of the 35th annual meeting of the Cognitive Science Society …, 0 | 50* | |

Modeling cortical representational plasticity with unsupervised feature learning A Saxe, M Bhand, R Mudur, B Suresh, A Ng Poster presented at COSYNE, 24-27, 2011 | 32 | 2011 |

Active long term memory networks T Furlanello, J Zhao, AM Saxe, L Itti, BS Tjan arXiv preprint arXiv:1606.02355, 2016 | 18 | 2016 |

DARPA Urban Challenge Princeton University Technical Paper AL Kornhauser, A Atreya, B Cattle, S Momen, B Collins, A Downey, ... Tech. Rep., 2007 | 18 | 2007 |

Prospect Eleven: Princeton University's entry in the 2005 DARPA Grand Challenge AR Atreya, BC Cattle, BM Collins, B Essenburg, GH Franken, AM Saxe, ... Journal of Field Robotics 23 (9), 745-753, 2006 | 14 | 2006 |

Energy–entropy competition and the effectiveness of stochastic gradient descent in machine learning Y Zhang, AM Saxe, MS Advani, AA Lee Molecular Physics 116 (21-22), 3214-3223, 2018 | 13 | 2018 |

Multitasking Capability Versus Learning Efficiency in Neural Network Architectures. S Musslick, A Saxe, K Özcimder, B Dey, G Henselman, JD Cohen CogSci, 2017 | 12 | 2017 |

Tensor switching networks CY Tsai, AM Saxe, D Cox Advances in Neural Information Processing Systems, 2038-2046, 2016 | 8 | 2016 |

Dynamics of learning in deep linear neural networks AM Saxe, JL McClelland, S Ganguli NIPS Workshop on Deep Learning, 2013 | 8 | 2013 |

Hierarchy through composition with multitask LMDPs AM Saxe, AC Earle, B Rosman Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 7 | 2017 |

A mathematical theory of semantic development in deep neural networks AM Saxe, JL McClelland, S Ganguli Proceedings of the National Academy of Sciences 116 (23), 11537-11546, 2019 | 6 | 2019 |