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Author

Aravinda Kanchana Ruwanpathirana

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#machine learning Preprint Oct 2026

Learning structured linear dynamical systems from missing observations

We consider the problem of learning structured linear dynamical systems over convex sets $\mathcal{K}$, where only a small subset of the observations are available at each time point. An estimator which minimizes a bias-corrected, potentially non-convex objective function is proposed. Non-asymptotic bounds are obtained...

Aravinda Kanchana Ruwanpathirana, Hemant Tyagi, Sunny G. W. Wang · 0 citations
Preprint Aug 2026

Incoherent by Design? On the Moral Self-Consistency of LLMs

It is argued that demonstrating internal incoherence is a necessary precursor to AI alignment as well as a broader phenomenon of epistemic instability in generative AI wherein models fail to reliably maintain coherence with respect to their own prior outputs.

Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Helen Nissenbaum · 0 citations

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