Berfin Şimşek

Berfin Şimşek

doctoral researcher @ EPFL
research intern @ FAIR

About me

Hi! I am a doctoral researcher at Ecole Polytechnique Fédérale de Lausanne (EPFL) since September 2018 in the department of Computer and Communication Sciences. My research focus is understanding the Neural Network magic using a mathematical approach. In particular, I am interested in the overparameterized net landscapes, training dynamics, and both in & out of distribution generalization. I also worked on some classical learning models like random features and kernel methods. I feel very lucky to have my inspiring supervisors Clément Hongler and Wulfram Gerstner.

Before my Ph.D., I studied Electrical and Electronics Engineering and Mathematics (double-major) at Koç University. During my bachelor’s, I spent half a year at the University of California Los Angeles (UCLA) as an exchange student. Even before, I competed in Maths Olympiads and earned two International Mathematical Olympiad (IMO) medals when I was at Izmir Science Highschool. I dance Argentine Tango.


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Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
Kernel Alignment Risk Estimator: Risk Prediction from Training Data
Implicit Regularization of Random Feature Models