Synthetic Time Series Generation on Licor data (test) benchmark leaderboard · SOTA2 Research

Synthetic Time Series Generation on Licor data (test)

0.843ACFSigCWGAN

Evaluation Results

Method	Links
SigCWGAN2026.04		0.843	0.461	0.692	68.9	3.8	8.7
AECGAN2026.04		0.443	0.141	0.301	79	5.8	8.5
SigCWGAN-MCMC2026.04		0.44	0.341	0.507	79.4	0.2	8.4
RCWGAN2026.04		0.427	0.119	0.238	76.2	9.2	8.4
RCGAN2026.04		0.353	0.118	0.3	79.8	4.5	8.6
TimeGAN2026.04		0.343	0.132	0.311	78.5	5.5	8.5
AECGAN-MCMC2026.04		0.261	0.081	0.237	90.6	1.4	8.4
RCGAN-MCMC2026.04		0.147	0.063	0.203	93	0.8	8.5
TimeGAN-MCMC2026.04		0.121	0.053	0.173	93.3	0.8	8.4
RCWGAN-MCMC2026.04		0.085	0.05	0.102	92.6	1.3	8.4