KGCM-VAE uses physical knowledge to generate time-varying SSH treatments and MMD balancing to estimate causal effects on sea ice thickness, outperforming baselines on synthetic data.
& Camps-Valls, G
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Knowledge-Guided Time-Varying Causal Inference for Arctic Sea Ice Dynamics
KGCM-VAE uses physical knowledge to generate time-varying SSH treatments and MMD balancing to estimate causal effects on sea ice thickness, outperforming baselines on synthetic data.