Regression on Energy (RMSE)
0.112RMSEWW-DP-SGD
Evaluation Results
| Method | Links | |
|---|---|---|
| WW-DP-SGDPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.02 | 0.112 | |
| DP-Adam-ACPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.02 | 0.116 | |
| ADP-AdamWPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.02 | 0.118 | |
| DP-AdamPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.02 | 0.12 | |
| DP-ISPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.02 | 0.121 | |
| DP-SAMPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.02 | 0.122 | |
| DP-SATPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.02 | 0.123 | |
| DP-SGDPrivacy Budget=epsilon ≈ 8, delta = 10^-5, Architecture=MLP (two hidden layers)2026.02 | 0.128 | |
| CARD2022.06 | 0.52 | |
| VBLL2026.05 | 0.531 | |
| Bethe-Obs2026.05 | 0.571 | |
| GCDS2022.06 | 0.64 | |
| Bethe-FG2026.05 | 0.689 | |
| Bethe-FG-FS2026.05 | 0.689 | |
| Bethe-Diag2026.05 | 0.734 | |
| Bethe-Diag-FS2026.05 | 0.734 | |
| Deep Ensemble2026.05 | 1.215 | |
| MAP2026.05 | 1.233 | |
| Laplace-Full2026.05 | 1.233 | |
| MC Dropout2026.05 | 1.244 | |
| PBP2022.06 | 1.58 | |
| MC Dropout2022.06 | 1.7 | |
| Deep Ensembles2022.06 | 2.02 | |
| GP-RBF2026.05 | 6.235 |