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Author

Samuel J. K. Chin

2 papers indexed here

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#machine learning Preprint Sep 2026

Annealed Sinkhorn with Momentum: Certified Unregularized Optimal Transport in Linear Memory

Overrelaxed Bregman Douglas-Rachford splitting is introduced, which combines annealing and overrelaxed scaling within a single recursion and a primal-dual certificate for both methods that can be evaluated in linear memory without transport plan construction, thus providing a computable stopping rule.

Samuel J. K. Chin, Maximilian Schiffer · 0 citations
#artificial intelligence Preprint May 2026

Neural Cluster First, Route Second: Capacitated Vehicle Routing via Differentiable Optimal Transport

Neural Cluster-First--Route-Second (CFRS), a neural extension of the Fisher--Jaikumar framework that predicts seed-selection scores and customer-to-cluster assignment costs non-autoregressively and respects the three symmetries of the symmetric Euclidean CVRP, is introduced.

Samuel J. K. Chin, Maximilian Schiffer · 0 citations

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