An optimal-transport-trained grey-box neural ODE corrects missing physics terms in unpaired simulation-to-real translation, beating black-box baselines on synthetic systems.
Kantorovich duality for general transport costs and applications
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Hybrid Generative Modeling for Incomplete Physics: Deep Grey-Box Meets Optimal Transport
An optimal-transport-trained grey-box neural ODE corrects missing physics terms in unpaired simulation-to-real translation, beating black-box baselines on synthetic systems.