Computational Efficiency on Synthetic DGP n_train=25k
2.3Inference Latency (s)MB Last-Layer
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| MB Last-LayerHardware=Quadro RTX 8000, N_test=10k points2026.05 | 2.3 | — | — | — | |
| MB Full-NetworkHardware=Quadro RTX 8000, N_test=10k points2026.05 | 19.3 | — | — | — | |
| Causal EpiNetHardware=Quadro RTX 8000, N_test=1 point2026.05 | 612 | — | — | — | |
| Causal EpiNetHardware=Quadro RTX 8000, N_test=1k points2026.05 | 612 | — | — | — | |
| Causal EpiNetHardware=Quadro RTX 8000, N_test=10k points2026.05 | 612 | — | — | — | |
| MB Last-LayerHardware=Quadro RTX 8000, N_test=1 point2026.05 | 811 | — | — | — | |
| MB Last-LayerHardware=Quadro RTX 8000, N_test=1k points2026.05 | 811 | — | — | — | |
| MB Full-NetworkHardware=Quadro RTX 8000, N_test=1 point2026.05 | 6,954 | — | — | — | |
| MB Full-NetworkHardware=Quadro RTX 8000, N_test=1k points2026.05 | 6,954 | — | — | — | |
| Causal EpiNetHardware=Quadro RTX 8000, n_train=25k2026.05 | — | 36 | — | 38.4 | |
| MB Full-NetworkHardware=Quadro RTX 8000, n_train=25k2026.05 | — | 12.7 | 6.1 | 22.5 | |
| MB Last-LayerHardware=Quadro RTX 8000, n_train=25k2026.05 | — | 13 | 1 | 18 |