activity
20152026
most citedGeneralized Sinkhorn iterations for regularizing inverse problems using optimal mass transport

48 citations · 241 across the 28 of their papers we have counts for

collaborators

28 papers

math.OC2026

On the real angular stability radius for sectorial matrices

Sei Zhen Khong, Xin Mao, Li Qiu +1

The real stability radius problem asks for the smallest real perturbation that makes a given matrix lose rank, and it is a structured counterpart of the corresponding complex stabi…

math.OC2026

Consistent inverse optimal control for infinite time-horizon discounted nonlinear systems under noisy observations

Ziliang Wang, Axel Ringh, Han Zhang

Inverse optimal control (IOC) aims to estimate the underlying cost that governs the observed behavior of an expert system. However, in practical scenarios, the collected data is of…

math.OC2025

Consistent inverse optimal control for discrete-time nonlinear stochastic systems

Ziliang Wang, Han Zhang, Axel Ringh

Inverse Optimal Control (IOC) seeks to recover an unknown cost from expert demonstrations, and it provides a systematic way of modeling experts' decision mechanisms while consideri…

math.OC2025

A convex approach for Markov chain estimation from aggregate data via inverse optimal transport

Michele Mascherpa, Axel Ringh, Amirhossein Taghvaei +1

We address the problem of identifying the dynamical law governing the evolution of a population of indistinguishable particles, when only aggregate distributions at successive time…

math.OC2025

Fast computation of the TGOSPA metric for multiple target tracking via unbalanced optimal transport

Viktor Nevelius Wernholm, Alfred Wärnsäter, Axel Ringh

In multiple target tracking, it is important to be able to evaluate the performance of different tracking algorithms. The trajectory generalized optimal sub-pattern assignment metr…

math.OC2024★ 1 cited

Matrix Completion and Decomposition in Phase Bounded Cones

Ding Zhang, Axel Ringh, Li Qiu

The problem of matrix completion and decomposition in the cone of positive semidefinite (PSD) matrices is a well-understood problem, with many important applications in areas such…