A Multi-Resolution Framework for U-Nets with Applications to Hierarchical V AEs
–Neural Information Processing Systems
We provide theoretical results which prove that average pooling corresponds to projection within the space of square-integrable functions and show that U-Nets with average pooling implicitly learn a Haar wavelet basis representation of the data.
Neural Information Processing Systems
Aug-15-2025, 08:30:46 GMT
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- Germany > Lower Saxony
- Gottingen (0.04)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Oxfordshire > Oxford (0.04)
- Germany > Lower Saxony
- North America > United States
- Massachusetts > Middlesex County > Cambridge (0.04)
- Europe
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- Research Report > New Finding (0.46)
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- Government > Regional Government (0.46)
- Health & Medicine (1.00)
- Information Technology (0.68)
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