Berfin Şimşek

Berfin Şimşek

postdoc @ Flatiron CCM
guest researcher @ NYU CDS

About me

Hi! I am a Research Fellow (Postdoc) at Flatiron (CCM) and a guest researcher at New York University (CDS). I am currently analyzing exciting models of deep learning that might give insight into representations and feature learning. During my Ph.D. at École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, I developed a combinatorial method to quantify the complexity of neural network loss landscapes.

Prior to starting at Flatiron (CCM), I was a Faculty Fellow at New York University (CDS) where I co-instructed the Machine Learning Course. I was fortunate to be advised by Clément Hongler and Wulfram Gerstner at EPFL. For a brief period, I explored out-of-distribution generalization at Meta AI during my Ph.D.. I studied Electrical-Electronics Engineering and Mathematics double-major at Koç University in Istanbul. Before that, I earned two bronze medals in International Mathematical Olympiad (IMO).

See my Google Scholar page for an up to date list of publications.

Talks & Conferences

Publications

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Deep Linear Networks Dynamics: Low-Rank Biases Induced by Initialization Scale and L2 Regularization
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances