What is recorded here?
Fits predictive surrogate benchmarks using evaluated DARTS-space architectures to simulate searches over a much larger space than exhaustive tabulation can cover.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The approximately 10^18 space is modeled from tens of thousands of evaluated candidates, not exhaustively trained. Surrogate error, sampling bias and training/noise assumptions remain; its predictions are not exact measurements or proof of a search algorithm's real-world ranking. First two authors contribute equally.
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People and systems
Julien Siems; Lucas Zimmer; Arber Zela; Jovita Lukasik; Margret Keuper; Frank Hutter
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
NAS-Bench-301 learned surrogate architecture benchmark
Fits predictive surrogate benchmarks using evaluated DARTS-space architectures to simulate searches over a much larger space than exhaustive tabulation can cover.
Scientific scope
The approximately 10^18 space is modeled from tens of thousands of evaluated candidates, not exhaustively trained. Surrogate error, sampling bias and training/noise assumptions remain; its predictions are not exact measurements or proof of a search algorithm's real-world ranking. First two authors contribute equally.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Julien Siems; Lucas Zimmer; Arber Zela; Jovita Lukasik; Margret Keuper; Frank Hutter
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.