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Understanding Deep Learning via Notions of Rank
arXiv.orgDespite the extreme popularity of deep learning in science and industry, its formal understanding is limited. This thesis puts forth notions of rank as key for developing a theory of deep learning, focusing on the fundamental aspects of generalization ...
Noam Razin
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Generalized Graph Signal Sampling under Subspace Priors by Difference-of-Convex Minimization
Asia-Pacific Signal and Information Processing Association Annual Summit and ConferenceThis paper proposes an effective approach for sampling graph signals under the subspace prior. Unlike conventional methods that assume bandlimited signals, our method, based on generalized sampling theory, designs a sampling operator suitable for general
Keitaro Yamashita +2 more
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Purely Atomic Representations of Higher-Rank Graph $$\varvec{C}^{\varvec{*}}$$Cā-Algebras
Integral equations and operator theory, 2018Carla Farsi +4 more
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A Graph Theory Based Method to Extract Social Structure in the Society
INTAP, 2018Wajid Rafique +4 more
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E-theoretic duality for higher rank graph algebras
, 2005I. Popescu, J. Zacharias
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, 2020