Conditional Neural Optimal Transport on 8 Gaussians – Moons benchmark leaderboard · SOTA2 Research

Conditional Neural Optimal Transport on 8 Gaussians – Moons

0.19W2CGFM

Evaluation Results

Method	Links
CGFM2024.11		0.19	0.025	0.028
CGFM-Entropic2024.11		0.219	0.033	0.033
CVFM2024.11		0.246	0.041	0.037
WFM-Entropic2024.11		0.3	0.111	0.104
CVFM (α(w))2024.11		0.304	0.077	0.057
CVSFM2024.11		0.307	0.073	0.053
CVFM-Entropic2024.11		0.321	0.084	0.06
WFM2024.11		0.369	0.052	0.064
T-COT-FM2024.11		0.4	0.083	0.058
COT-SFM2024.11		0.404	0.112	0.072
COT-FM2024.11		0.408	0.122	0.082
COT-FM-Entropic2024.11		0.826	0.592	0.378
CFM2024.11		1.021	0.803	0.468
CVSFM2024.11		1.021	0.356	0.311
CVFM2024.11		1.101	0.4	0.407
CVFM (α(w))2024.11		1.145	0.674	0.539
CVFM-Entropic2024.11		1.203	0.729	0.568
COT-SFM2024.11		1.221	0.439	0.349
T-COT-FM2024.11		1.273	0.462	0.442
COT-FM2024.11		1.275	0.511	0.47
COT-FM-Entropic2024.11		2.379	2.205	0.962
CFM2024.11		2.807	2.917	1.114