Necessary-and-sufficient closedness conjecture for shallow sparse ReLU networks
Necessary-and-sufficient closedness conjecture for shallow sparse ReLU networks
Let with , and let be a shallow-network architecture. Let be its function space. The function space is considered with the uniform norm in
Shallow-network closedness conjecture. The set is closed in if and only if satisfies the second condition of the stated generalized closedness theorem.
This conjecture seeks a necessary and sufficient condition for closedness in the shallow case , where the paper has separately obtained necessary and sufficient conditions. The source does not state a resolution.
Sources & referencesView supporting material
Primary source
Quoc-Tung Le, Elisa Riccietti and Rémi Gribonval, “Does a sparse ReLU network training problem always admit an optimum?”, arXiv:2306.02666 (2023).
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