Temporal scRNA-seq Modeling under Sparsity on DR (Drosophila) Hard Sparse Modeling benchmark leaderboard · SOTA2 Research

Temporal scRNA-seq Modeling under Sparsity on DR (Drosophila) Hard Sparse Modeling

32.68Score (t=2)PRESCIENT

Evaluation Results

Method	Links
PRESCIENT2026.05		32.68	32.36	33.08	35.51	34.19	38.12
PRESCIENT2026.05		32.68	32.36	33.08	35.51	34.19	38.12
LGP-OT2026.05		30.77	32.15	34.14	35.66	36.77	39.21
PI-SDE2026.05		30.34	30.82	32.71	34.18	34.55	38.9
PI-SDE2026.05		30.34	30.82	32.71	34.18	34.55	38.9
VGFM2026.05		30.27	31.3	33.36	35.62	35.36	38.47
VGFM2026.05		30.27	31.3	33.36	35.62	35.36	38.47
LGP-OT (ς(t) = 0.1)2026.05		30.14	31.28	33.29	34.93	34.88	38.79
LGP-OT2026.05		30.14	31.28	33.29	34.93	34.88	38.79
scNODE2026.05		29.95	30.71	32.88	34.82	34.63	38.26
scNODE2026.05		29.95	30.71	32.88	34.82	34.63	38.26
MIOFlow2026.05		29.74	30.97	32.84	35.25	36.78	41.43
MIOFlow2026.05		29.74	30.97	32.84	35.25	36.78	41.43
LGP-OT (w. time)2026.05		29.59	30.48	32.3	33.83	33.68	37.71
LGP-OT2026.05		29.59	30.48	32.3	33.83	33.68	37.71
LGP-OT2026.05		29.4	30.61	32.33	33.78	33.85	38.17
LGP-OT2026.05		29.4	30.61	32.33	33.78	33.85	38.17
LGP-OT (w. time + type)2026.05		28.84	30.48	32.2	33.77	33.52	37.88
LGP-OT2026.05		28.84	30.48	32.2	33.77	33.52	37.88
LGP-OT (w. type)2026.05		28.75	30.39	32.19	33.75	33.52	37.82
LGP-OT2026.05		28.75	30.39	32.19	33.75	33.52	37.82