5 citations · 5 across the 3 of their papers we have counts for
4 papers
Gradient-Free Sequential Bayesian Experimental Design via Interacting Particle Systems
Robert Gruhlke, Matei Hanu, Claudia Schillings +1
We introduce a gradient-free framework for Bayesian Optimal Experimental Design (BOED) in sequential settings, aimed at complex systems where gradient information is unavailable. O…
On the ensemble Kalman inversion under inequality constraints
Matei Hanu, Simon Weissmann
The ensemble Kalman inversion (EKI), a recently introduced optimisation method for solving inverse problems, is widely employed for the efficient and derivative-free estimation of…
Ensemble Kalman Inversion for Image Guided Guide Wire Navigation in Vascular Systems
Matei Hanu, Jürgen Hesser, Guido Kanschat +3
This paper addresses the challenging task of guide wire navigation in cardiovascular interventions, focusing on the parameter estimation of a guide wire system using Ensemble Kalma…
Subsampling in ensemble Kalman inversion
Matei Hanu, Jonas Latz, Claudia Schillings
We consider the Ensemble Kalman Inversion which has been recently introduced as an efficient, gradient-free optimisation method to estimate unknown parameters in an inverse setting…