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Author

M. Kim

4 papers indexed here

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Preprint Oct 2026

Intrinsic Contraction Theory and Stabilization of Probability Measures on the Wasserstein Space

Deterministic flows can contract Wasserstein distances between probability laws without being contractive in point-state space. We develop a differential contraction theory for pushforward flows on forward-invariant subsets of the 2-Wasserstein space that quotients out the gauge freedom of the continuity equation. Weig...

Min Kim, Joshua D. Ibrahim, Soon-Jo Chung · 0 citations
#machine learning Preprint Sep 2026

Statistical Learning of Contractive Dynamical Representations for Composite Adaptive Control

A statistically principled hard expectation-maximization procedure is introduced, with a Kalman smoother in the hard E-step, to identify dynamical representations of disturbance whose latent evolution is uniformly contractive, which yields a composite adaptive tracking controller with predictive capability and provable...

Min Kim, José Leonardo Brenes, Fred Y. Hadaegh et al. · 0 citations

SPINE: Bridging the Cyber-Physical Gap with Agentic AI

Results show that structured agentic debugging can address a key cyber-physical integration bottleneck in real-world robot deployment, and are shown to be more complete and efficient recovery than human operators using Claude Code.

Minkyu Ham, Dongho Kim, Chan Lee et al. · 0 citations

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