Samira Shabanian

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Samira Shabanian
Maluuba, Student M.Sc. (past)
Samira Shabanian

 “Everything should be made as simple as possible, but not simpler.” (Einstein)

 

My two major interests and passions are Computer Science and Mathematics, and I believe that there is a creative fusion between these two disciplines. Mathematics came to be my fist chosen field quite naturally and I followed my passion until receiving a PhD in Mathematics. My research field tied with Nonlinear Analysis and Optimization and I did my research activities especially on the generalization of variational relations and fixed point theorems in geodesic and modular spaces.
As a part of my research interest, I then decided to take the Computer Science path and work on this interesting field. So, I am currently a graduate student of Machine Learning in MILA laboratory. My research interests include deep learning, learning from high-dimensional data, and training deep generative models. My research project currently concerns the study of deep generative models and especially showcasing the power of these models for semi-supervised learning problems.
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