DOE OSTI · code-161695
Rotation-invariant-neural-networks
Abstract
Rotational symmetries are a fundamental and inherent property of many sources of data. Ensuring NNs embody rotation invariance will enhance their accuracy and radically lower their data requirements across a transformatively wide spectrum of applications.
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Lubbers, Nicholas [Los Alamos National Laboratory]. 2025-06-23. Rotation-invariant-neural-networks. https://doi.org/10.11578/dc.20250826.1
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