Levent Sagun

Identifiers

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Papers (9)

1. A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks cs.LG · 2019 · author #2
2. The jamming transition as a paradigm to understand the loss landscape of deep neural networks cond-mat.dis-nn · 2018 · author #4
3. Empirical Analysis of the Hessian of Over-Parametrized Neural Networks cs.LG · 2017 · author #1
4. SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine cs.CL · 2017 · author #2
5. Perspective: Energy Landscapes for Machine Learning stat.ML · 2017 · author #5
6. Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond cs.LG · 2016 · author #1
7. Entropy-SGD: Biasing Gradient Descent Into Wide Valleys cs.LG · 2016 · author #8
8. Universal halting times in optimization and machine learning cs.LG · 2015 · author #1
9. Explorations on high dimensional landscapes stat.ML · 2014 · author #1

Mentions

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Frequent Coauthors

• Yann LeCun 4 shared papers
• V. Ugur Guney 3 shared papers
• Leon Bottou 2 shared papers
• Andrew J. Ballard 1 shared papers
• Anna Choromanska 1 shared papers
• Carlo Baldassi 1 shared papers
• Christian Borgs 1 shared papers
• David J. Wales 1 shared papers
• Dhagash Mehta 1 shared papers
• Gerard Ben Arous 1 shared papers
• Giulio Biroli 1 shared papers
• Jacob D. Stevenson 1 shared papers
• Jennifer Chayes 1 shared papers
• Kyunghyun Cho 1 shared papers
• Marco Baity-Jesi 1 shared papers
• Mario Geiger 1 shared papers
• Matthew Dunn 1 shared papers
• Matthieu Wyart 1 shared papers
• Mert Gurbuzbalaban 1 shared papers
• Mike Higgins 1 shared papers