Optimal Transport map estimation on OT map (b) T2(x), d=50
0.406MSEHyCNN
Evaluation Results
| Method | Links | |
|---|---|---|
| HyCNNArchitecture=48 x 4, n=m=50002026.04 | 0.406 | |
| HyCNNArchitecture=48 x 6, n=m=50002026.04 | 0.499 | |
| HyCNNArchitecture=48 x 2, n=m=50002026.04 | 0.676 | |
| ICNNq (Softplus)Architecture=64 x 2, tau=10, n=m=50002026.04 | 2.019 | |
| ICNNq (Softplus)Architecture=64 x 4, tau=10, n=m=50002026.04 | 2.419 | |
| ICNNq (Softplus)Architecture=64 x 6, tau=10, n=m=50002026.04 | 2.472 | |
| ICNNq (Softplus)Architecture=64 x 2, tau=0.1, n=m=50002026.04 | 3.259 | |
| ICNNq (Softplus)Architecture=64 x 2, tau=1, n=m=50002026.04 | 3.447 | |
| ICNNq (ReLU)Architecture=64 x 2, n=m=50002026.04 | 3.633 | |
| ICNNq (Softplus)Architecture=64 x 6, tau=1, n=m=50002026.04 | 4.063 | |
| ICNNq (Softplus)Architecture=64 x 4, tau=1, n=m=50002026.04 | 6.358 | |
| ICNNq (Softplus)Architecture=64 x 4, tau=0.1, n=m=50002026.04 | 7.303 | |
| ICNNq (ReLU)Architecture=64 x 4, n=m=50002026.04 | 8.347 | |
| ICNN (ReLU)Architecture=64 x 6, n=m=50002026.04 | 9.786 | |
| ICNN (L-ReLU)Architecture=64 x 6, n=m=50002026.04 | 9.996 | |
| ICNN (ReLU)Architecture=64 x 4, n=m=50002026.04 | 12.451 | |
| ICNN (L-ReLU)Architecture=64 x 4, n=m=50002026.04 | 16.11 | |
| MongeGapArchitecture=64 x 6, n=m=50002026.04 | 16.897 | |
| MongeGapArchitecture=64 x 4, n=m=50002026.04 | 19.127 | |
| ICNN (ReLU)Architecture=64 x 2, n=m=50002026.04 | 19.617 | |
| ICNNq (Softplus)Architecture=64 x 6, tau=0.1, n=m=50002026.04 | 20.532 | |
| MongeGapArchitecture=64 x 2, n=m=50002026.04 | 20.856 | |
| ICNNq (ReLU)Architecture=64 x 6, n=m=50002026.04 | 26.901 | |
| Entropic OTepsilon=10, n=m=50002026.04 | 33.704 | |
| Entropic OTepsilon=1, n=m=50002026.04 | 41.518 | |
| Entropic OTepsilon=0.1, n=m=50002026.04 | 52.669 | |
| ICNN (L-ReLU)Architecture=64 x 2, n=m=50002026.04 | 60.328 |