Shijun Zhang
PulseAugur coverage of Shijun Zhang — every cluster mentioning Shijun Zhang across labs, papers, and developer communities, ranked by signal.
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New theory quantifies depth's role in deep neural network approximation
A new research paper published on arXiv explores the theoretical underpinnings of deep neural networks, focusing on the role of depth in their approximation capabilities. The study introduces a quantitative framework th…
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New FNO Architectures Enhance High-Frequency Learning and Physical Accuracy
Researchers have developed new frameworks for Fourier Neural Operators (FNOs) to improve their ability to learn high-frequency information and physical properties. SirenFNO leverages sinusoidal representation networks t…
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Multigrade Deep Learning offers structured error refinement
Researchers have introduced Multigrade Deep Learning (MGDL), a novel framework designed to improve error refinement in deep neural networks. This method trains deep networks incrementally, freezing previously learned la…