The authors propose a joint kernel entropic Gromov-Wasserstein objective for multimodal alignment that provably achieves O(n^{-1/2}) sample complexity and is solvable by alternating Sinkhorn updates.
With limited data for multimodal alignment, let the structure guide you.arXiv preprint arXiv:2506.16895,
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Multimodal Alignment Through Joint Kernel Entropic Gromov--Wasserstein Optimal Transport
The authors propose a joint kernel entropic Gromov-Wasserstein objective for multimodal alignment that provably achieves O(n^{-1/2}) sample complexity and is solvable by alternating Sinkhorn updates.