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ResearchFormerly WizWand

Model-Based Optimization on Lat. RBF 61

74Expected Top 1% ScoreMatchOpt
-2.9617.023756.98Oct 17, 2024
Updated 7mo ago

Evaluation results

MethodLinks
MatchOptNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.1074——
CliqueformerNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.1066——
RWRNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.1029——
COMsNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.1025——
TransformerNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.1016——
MatchOpt2024.100.74——
CliqueformerSampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.100.66——
Cliqueformer2024.100.66——
RWRSampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.100.29——
RWR2024.100.29——
COMsSampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.100.25——
COMs2024.100.25——
TransformerSampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.100.16——
Transformer2024.100.16——
Grad.Asc.Number of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.100——
IOMNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.100——
DDOMNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.100——
Grad.Asc.Sampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.100——
DDOMSampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.100——
Grad.Asc.2024.100——
IOM2024.100——
DDOM2024.100——