Author

K. Michielsen

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#machine learning Preprint Sep 2026

Repairability of Inexact Solvers in Recursive State Estimation with Machine Learning

Recursive state estimation often executes approximate numerical solutions inside a feedback loop, where highly accurate local steps do not guarantee better overall results. For a fixed linear Kalman model, we characterize when a correction within a prescribed subspace and norm budget can meet a local admissibility tole...

Yanjun Ji, D. Willsch, Orkun Şensebat et al. · 0 citations

Preprint Aug 2026

Polynomial Time Quantum Approximation Schemes for Constrained Optimisation

Heavy-Hitter QAOA is introduced, which preserves finite-depth and finite-shot guarantees for Constraint-Enhanced QAOA and preserves these conditional guarantees while reducing the retained candidate set and classical post-processing cost by one power of the problem size.

Chinonso Onah, K. Michielsen · 0 citations