Simulated dataset
Benchmarks
TaskDatasetSOTA resultTrendResults
Simulated dataset (val)
0.96Mean ARI
54
Simulated dataset (train)
96Mean ARI
54
Simulated dataset one level
91Accuracy
28
Simulated Dataset
0.009SAD
25
Simulated dataset (with noise) SNR 15 dB
1.01Relative Percent Error
23
Simulated dataset
0.94RMSE
20
Simulated dataset k2=6
85.1Reproducibility
20
Simulated dataset k2 = 4
86.1Reproducibility
20
3-variable simulated dataset (No. 2) with frequent transitions v1 (test)
93.24Accuracy
18
10-variable simulated dataset (infrequent transitions)
96.15Accuracy
18
Simulated Dataset
95.25Precision
18
Simulated dataset Sparse weights, k=n/4
1.5Mean Run Time (s)
15
Simulated dataset
28.39PSNR (dB)
15
Simulated dataset linear formula 4.3
11M1 Metric Value
11
Simulated dataset (3 variables) with infrequent transitions
0.089MAE
9
Simulated dataset (3 variables) with infrequent transitions
98.17Accuracy
9
3-variable simulated dataset No. 2 with frequent transitions v1 (test)
0.101MAE
9
3-variable simulated dataset with infrequent transitions (test)
0.089MAE
9
3-variable simulated dataset with infrequent transitions (test)
98.17Accuracy
9
Simulated Dataset B Binary (test)
0.001MSE
8
Simulated Dataset Nonlinear Outcome
1.45RMSE (Quadratic)
8
Simulated Dataset Linear Outcome
0.76Mean RMSE (Var=0.1)
8
Simulated dataset stronger noise condition (test)
28.06PSNR
6
Simulated Dataset t distribution, n=100 S2 (test)
0.045CATE Bias (Mean)
5
Simulated Dataset Non-linear n=100 S2 (test)
-0.166CATE Bias Mean
5