As of October 2017, I am a postdoctoral fellow at ENS-Paris and CEA-Saclay. The position is part of the Simons Collaboration Cracking the Glass Problem. Recently, I finished my PhD at the Courant Institute of Mathematical Sciences. I also did a research internship at FAIR over the summer of 2016. Here is my CV.

Email: sagun [at] cims [dot] nyu [dot] edu

Probability, statistical mechanics and deep learning from the energy landscape point-of-view. And applications of machine learning in social sciences.

**Explorations on high dimensional landscapes**
[ArXiv]

Levent Sagun, V. Ugur Guney, Gerard Ben Arous, Yann LeCun

*ICLR 2015, Workshop Contribution*

**Universality in halting time and its applications in optimization**
[ArXiv]

Levent Sagun, Thomas Trogdon, Yann LeCun

*Presented at ICML 2016, Optimization Workshop*

*To appear in Quarterly of Applied Mathematics*

**Early Predictability of Asylum Court Decisions**
[pdf]

Matthew Dunn, Levent Sagun, Hale Sirin, Daniel Chen

*ICAIL 2017, Short Paper*

**Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond **
[ArXiv]

Levent Sagun, Leon Bottou, Yann LeCun

*Preprint, 2016*

**Entropy-SGD: Biasing Gradient Descent Into Wide Valleys**
[ArXiv]

Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer Chayes, Levent Sagun, Riccardo Zecchina

*ICLR 2017, Conference Contribution*

**SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine**
[ArXiv][data]

Matthew Dunn, Levent Sagun, Mike Higgins, Ugur Guney, Volkan Cirik, Kyunghyun Cho

* Preprint, 2017 *

**Perspective: Energy Landscapes for Machine Learning**
[ArXiv]
[journal]

Andrew J. Ballard, Ritankar Das, Stefano Martiniani, Dhagash Mehta, Levent Sagun, Jacob D. Stevenson, David J. Wales

*Physical Chemistry Chemical Physics, 19, 12585-12603, 2017*

**Empirical Analysis of the Hessian of Over-Parametrized Neural Networks**
[ArXiv]

Levent Sagun, Utku Evci, Ugur Guney, Yann Dauphin, Leon Bottou

*Preprint, 2017*

Statistical and Mathematical Methods, Center for Data Science at NYU
[fall 2015,
fall 2016]

Machine Learning, Center for Data Science at NYU
[spring 2016]

Theory of Probability, Courant Institute [fall 2016, fall 2014]

Probability and Statistics, Courant Institute [spring 2015]

Introduction to Mathematical Analysis, Courant Institute [spring 2014]

Written Exam Workshop, Courant Institute [fall 2013]