Sparse reconstruction on 1D heat diffusion sparse reconstruction (test)
0Data LossPGT
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| PGTM (Number of observations)=500, FLOPs (G)=190, Train time=27.5 min, Param=4.05E+082026.03 | 0 | 0.067 | 0.0026 | |
| PGTM (Number of observations)=200, FLOPs (G)=132, Train time=13 min, Param=4.05E+082026.03 | 0 | 0.066 | 0.0028 | |
| PGTM (Number of observations)=100, FLOPs (G)=116, Train time=9.5 min, Param=4.05E+082026.03 | 0.0001 | 0.066 | 0.0059 | |
| PINNM (Number of observations)=500, FLOPs (G)=1.94, Train time=66.8 s, Param=66,5002026.03 | 0.021 | 0.13 | 0.313 | |
| PINNM (Number of observations)=200, FLOPs (G)=1.75, Train time=65.9 s, Param=66,5002026.03 | 0.024 | 0.19 | 0.332 | |
| SIRENM (Number of observations)=500, FLOPs (G)=7.5, Train time=135 s, Param=26,4192026.03 | 0.025 | 0.18 | 0.34 | |
| PINNM (Number of observations)=100, FLOPs (G)=1.69, Train time=65 s, Param=66,5002026.03 | 0.026 | 0.12 | 0.226 | |
| SIRENM (Number of observations)=200, FLOPs (G)=6.8, Train time=127 s, Param=26,4192026.03 | 0.045 | 0.14 | 0.45 | |
| SIRENM (Number of observations)=100, FLOPs (G)=6.5, Train time=126 s, Param=26,4192026.03 | 0.063 | 0.18 | 0.54 |