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Nam Nguyen

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#machine learning Preprint Sep 2026

Beyond Gradient Flow: Identifiability and Recovery from Distribution Snapshots

Inferring dynamics from snapshots of evolving distributions is fundamentally underdetermined: the Fokker-Planck equation constrains the drift $F$ only through its score-weighted divergence $\nabla\cdot F+F\cdot\nabla\log\rho$, leaving a $\rho$-solenoidal gauge invisible to any single-time constraint. Time-indexed trans...

Nam Nguyen, V. Malysheva · 0 citations
Preprint Aug 2026

Preservation of Positive-Definiteness by Bernstein Operators on the Circle

We prove that, for every $n\ge1$, the degree-$n$ Bernstein operator on $[0,\pi]$ preserves positive-definiteness on the circle $S^1$. Equivalently, if a continuous function on $[0,\pi]$ defines a positive-definite isotropic kernel on $S^1$, then its Bernstein polynomial approximation of any fixed degree does as well. T...

Matthew Otten, Nam Nguyen, Thomas W. Watts · 0 citations

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