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Generalization on Synthetic Dataset
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0.251
R^2 (10%)
AdverISF (Two-Stage)
0.15532
0.18016
0.205
0.22984
Feb 6, 2026
R^2 (10%)
R^2 (20%)
R^2 (50%)
R^2 (70%)
Updated 4d ago
Evaluation Results
Method
Method
Links
R^2 (10%)
R^2 (20%)
R^2 (50%)
R^2 (70%)
AdverISF (Two-Stage)
Training Mode=Two-Stage
2026.02
0.251
0.253
0.42
0.565
MLP
2026.02
0.201
0.23
0.421
0.468
AdverISF (Joint)
Training Mode=Joint
2026.02
0.179
0.254
0.423
0.355
infoR–LSF
2026.02
0.165
0.147
0.406
0.435
VIB
2026.02
0.159
0.147
0.393
0.478
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