function spaces
PulseAugur coverage of function spaces — every cluster mentioning function spaces across labs, papers, and developer communities, ranked by signal.
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Withdrawn arXiv paper links metric entropy to RKBS embeddability
A research paper, recently withdrawn by its author Yiping Lu, explored the relationship between metric entropy and the embeddability of function spaces into reproducing kernel Banach spaces (RKBS). The study established…
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New framework unifies representation costs for deep neural networks
A new research paper introduces a unified framework for analyzing the representation costs of parametric data-fitting methods. This framework reveals the induced function spaces for various models, including kernel meth…
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Random feature models including neural networks achieve universal approximation
Researchers have introduced a new framework for random feature learning, extending it to Banach spaces. This approach allows for significant reductions in computational complexity by only training a linear readout after…