Ph.D Student in Applied Mathematics
Machine Learning |
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DMS - Université de Montréal MILA - Québec AI Institute IVADO - Institut de valorisation des données |
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linkedin.com/in/amine-natik | |
amine.natik@umontreal.ca | |
github/amine-natik | |
scholar.google.com/amine-natik |
I am a PhD student at the DMS (Département de Mathématiques et de Statistique) at the University of Montreal, a core member at MILA (Montreal Institute of Learning Algorithms), and a PhD fellow of IVADO (Institut de valorisation des données). Co-supervised by Guillaume Lajoie and Guy Wolf, I received my M.Sc at the University of Ottawa in Probability Theory under the supervision of Aaron Smith.
Currently I am interested in understanding the information encoded in the hidden layers of trained deep neural networks accomplishing complex tasks. I am using tools from manifold learning, graph signal processing, representation learning and dynamical systems. I am also interested in research at the intersection of AI and Neuroscience.
PhD in Applied Mathematics | |
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University of Montreal — MILA | Montreal, Canada |
Thesis: Spatial and spectral properties of neural network
connectivity and their impact on learned representations. |
(2019 — Present) |
MSc in Mathematics | |
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University of Ottawa | Ottawa, Canada |
Thesis: Network analysis; Consistency of the spectral seriation algorithm | (2017 — 2019) |
BSc in Mathematics | |
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Faculté des Sciences de Rabat | Rabat, Morocco |
Thesis: Mathematical Models for Cancer Growth. | (2015 — 2017) |
Amine Natik, Aaron Smith
Submitted to the Annals of StatisticsAlexander Tong, Guillaume Huguet, Dennis Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy
Submitted to NeurIPS 2021Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid Macdonald, Manik Kuchroo, Ronald Coifman, Guy Wolf, Smita Krishnaswamy
2021 International Conference on Machine Learning (ICML)Amine Natik, Frederik Wenkel, Guillaume Lajoie, Guy Wolf
In progressAmine Natik
M.Sc ThesisAmine Natik, Soufiane Fadel
B.Sc Thesis