Andrew M. Saxe

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Papers (8)

1. Generalisation dynamics of online learning in over-parameterised neural networks stat.ML · 2019 · author #3
2. Energy-entropy competition and the effectiveness of stochastic gradient descent in machine learning cs.LG · 2018 · author #2
3. High-dimensional dynamics of generalization error in neural networks stat.ML · 2017 · author #2
4. Hierarchical Subtask Discovery With Non-Negative Matrix Factorization cs.AI · 2017 · author #2
5. Hierarchy through Composition with Linearly Solvable Markov Decision Processes cs.AI · 2016 · author #1
6. Active Long Term Memory Networks cs.LG · 2016 · author #3
7. Qualitatively characterizing neural network optimization problems cs.NE · 2014 · author #3
8. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks cs.NE · 2013 · author #1

Mentions

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Frequent Coauthors

• Madhu S. Advani 3 shared papers
• Benjamin Rosman 2 shared papers
• Adam C. Earle 1 shared papers
• Adam Earle 1 shared papers
• Alpha A. Lee 1 shared papers
• Bosco S. Tjan 1 shared papers
• Florent Krzakala 1 shared papers
• Ian J. Goodfellow 1 shared papers
• James L. McClelland 1 shared papers
• Jiaping Zhao 1 shared papers
• Laurent Itti 1 shared papers
• Lenka Zdeborov\'a 1 shared papers
• Oriol Vinyals 1 shared papers
• Sebastian Goldt 1 shared papers
• Surya Ganguli 1 shared papers
• Tommaso Furlanello 1 shared papers
• Yao Zhang 1 shared papers