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Máté Kiss

4 papers hereh-index 218 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SY3
  • math.PR1

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators

4 papers

math.PR2026

Extreme points of sets of probability measures and φ-divergences

Gerrit Bauch, Max Nendel, Alessandro Sgarabottolo

In this work, we prove several equivalent characterizations of the extreme points of convex sets of probability measures of the form M=P∩H, where $\mathc…

eess.SY2026

Least Costly Space-Filling Experiment Design for the Identification of a Nonlinear System

Máté Kiss, Maarten Schoukens, Roland Tóth

The quality of an estimated nonlinear model highly depends on the data quality that was used for the system identification. By using a Gaussian Process-based optimal input design a…

eess.SY2025

On Space-Filling Input Design for Nonlinear Dynamic Model Learning: A Gaussian Process Approach

Yuhan Liu, Máté Kiss, Roland Tóth +1

While optimal input design for linear systems has been well-established, no systematic approach exists for nonlinear systems where robustness to extrapolation/interpolation errors…

eess.SY2024

Space-Filling Input Design for Nonlinear State-Space Identification

Máté Kiss, Roland Tóth, Maarten Schoukens

The quality of a model resulting from (black-box) system identification is highly dependent on the quality of the data that is used during the identification procedure. Designing e…

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