Trajectory Inference on EB dataset 5D (test) benchmark leaderboard · SOTA2 Research

Trajectory Inference on EB dataset 5D (test)

1.27W1 (t=1)JKOnet

Evaluation Results

Method	Links
JKOnet2025.06		1.27	—	1.13	—	1.41	—	—	—	1.53	1.34
JKOnet*V2025.06		1.11	—	1.06	—	1.3	—	—	—	0.99	1.12
iJKOnetV2025.06		1.11	—	0.95	—	1.21	—	—	—	0.92	1.05
TrajectoryNet2025.06		1.06	—	0.9	—	1.01	—	—	—	0.73	0.93
Neural SDE2025.06		0.91	—	0.85	—	0.81	—	—	—	0.69	0.82
NLSB2025.06		0.84	—	0.81	—	0.79	—	—	—	0.68	0.78
SB-FBSDE2025.06		0.8	—	1	—	1	—	—	—	0.56	0.84
WLF-SB2025.06		0.79	—	0.77	—	0.74	—	—	—	0.63	0.73
WLF-OT2025.06		0.78	—	0.76	—	0.75	—	—	—	0.65	0.74
JKOnet*t,V2025.06		0.77	—	0.69	—	0.78	—	—	—	0.69	0.73
OT-CFM2025.06		0.76	—	0.77	—	0.75	—	—	—	0.78	0.77
iJKOnett,V2025.06		0.58	—	0.57	—	0.64	—	—	—	0.51	0.58
SF2M2026.01		0.556	—	0.715	—	0.75	—	0.65	—	—	—
UOT-FM2026.01		0.544	0.032	0.67	0.029	0.729	0.016	0.852	0.041	—	—
MMFM2026.01		0.477	—	0.554	—	0.781	—	0.872	—	—	—
Metric FM2026.01		0.449	—	0.552	—	0.583	—	0.597	—	—	—
MIOFlow2026.01		0.442	—	0.585	—	0.651	—	0.67	—	—	—
Var-RUOT2026.01		0.416	0.111	0.486	0.144	0.509	0.054	0.511	0.022	—	—
VGFM2026.01		0.402	0.046	0.494	0.018	0.525	0.035	0.573	0.021	—	—
TIGON2026.01		0.386	0.002	0.502	0.015	0.602	0.021	0.6	0.027	—	—
DeepRUOT2026.01		0.386	0.005	0.497	0.017	0.591	0.021	0.585	0.03	—	—
WFR-MFM2026.01		0.356	0.0001	0.438	0.01	0.477	0.0002	0.502	0.001	—	—
WFR-FM2026.01		0.324	0.003	0.401	0.001	0.431	0.005	0.51	0.005	—	—