Deep learning and geometric deep learning: An introduction for mathematicians and physicists

DOI10.1142/s0219887823300064arXiv2305.05601OpenAlexW4377824180MaRDI QIDQ6144784

Rita Fioresi, Ferdinando Zanchetta

Publication date: 29 January 2024

Published in: International Journal of Geometric Methods in Modern Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2305.05601

zbMATH Keywords

machine learningmathematical physics

Mathematics Subject Classification ID

Mathematics for nonmathematicians (engineering, social sciences, etc.) (00A06) General topics in artificial intelligence (68T01)

Cites Work

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• Normalized graph Laplacians for directed graphs
• Multilayer feedforward networks are universal approximators
• Model-Centric Data Manifold: The Data Through the Eyes of the Model
• Graph Representation Learning
• The elements of statistical learning. Data mining, inference, and prediction

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