Can generalised divergences help for invariant neural networks?

DOI10.1007/978-3-031-38271-0_9MaRDI QIDQ6178829

Santiago Velasco-Forero

Publication date: 16 January 2024

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Abstract harmonic analysis (43A99)

Cites Work

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• Informational divergence and the dissimilarity of probability distributions
• Scale equivariant neural networks with morphological scale-spaces
• Lie groups. An approach through invariants and representations
• Deep Scattering Spectrum
• Adaptive communication receivers
• Information radius
• PDE-based group equivariant convolutional neural networks

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