Entropic RNOT learns a neural pullback parameterization of the target Schrödinger potential to recover entropic OT couplings on Riemannian manifolds and construct convergent transport surrogates with fixed-regularization guarantees.
Ricci and Scalar Curvatures
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Entropic Riemannian Neural Optimal Transport
Entropic RNOT learns a neural pullback parameterization of the target Schrödinger potential to recover entropic OT couplings on Riemannian manifolds and construct convergent transport surrogates with fixed-regularization guarantees.