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Overall, these results show that first-layer localization can provide measurable improvements to baseline PINNs on long-domain and high-order problems.
H3DNAS is presented, a hardware-aware model compression framework that operates directly on ONNX computational graphs without requiring original source code, architecture class definition, or gradient access during search during search, and is the first source-code-free compression pipeline for 3D point cloud models.
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