From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “parameter uncertainty” 702

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Uncertainty quantification in geological modelling by Hessian-informed MCMC
2020 conference-abstract Earth and Planetary Sciences Geological Modeling and Analysis Open access

Zhouji Liang, Florian Wellmann

0

citations
A Data-driven Technique for Network Line Parameter Estimation Using Gaussian Processes
2023 IEEE Power & Energy Society General Meeting (PESGM) conference-paper Engineering Power System Optimization and Stability

Priyanka Arkalgud Ganeshamurthy, Antonello Monti, Ferdinanda Ponci

1

citations
Parameter Filter-based Event-triggered Learning
2025 European Control Conference (ECC) conference-paper Engineering Control Systems and Identification

Sebastian Schlor, Friedrich Solowjow, Sebastian Trimpe

0

citations
Uncertainty-aware and Data-efficient Cosmological Emulation using Gaussian Processes and PCA
2023 arXiv (Cornell University) preprint Physics and Astronomy Cosmology and Gravitation Theories Open access

Sven Günther

8

citations
Towards Robust Hemolysis Modeling with Uncertainty Quantification: A Universal Approach to Address Experimental Variance
2024 arXiv (Cornell University) preprint Engineering Mechanical Circulatory Support Devices Open access

Christopher Blum, Ulrich Steinseifer, Michael Neidlin

0

citations
Evaluating RJ MCMC for parameter dimensionality adjustment in geological models
2023 conference-abstract Earth and Planetary Sciences Geological Modeling and Analysis Open access

Nils Chudalla, Florian Wellmann, Christin Bobe, Sofia Brisson, Zhouji Liang

0

citations
Uncertainty quantification in hierarchical vehicular flow models
2022 Kinetic and Related Models article Engineering Traffic control and management Open access

Michaël Herty, Elisa Iacomini

5

citations
Uncertainty Quantification in Hierarchical Vehicular Flow Models
2021 arXiv (Cornell University) preprint Engineering Traffic control and management Open access

Michaël Herty, Elisa Iacomini

1

citations
Trained Gaussian Process emulators for the ICON-HAM perturbed parameter ensemble (PPE)
2026 Zenodo (CERN European Organization for Nuclear Research) software Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access

Hailing Jia

0

citations
Trained Gaussian Process emulators for the ICON-HAM perturbed parameter ensemble (PPE)
2026 Zenodo (CERN European Organization for Nuclear Research) software Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access

Hailing Jia

0

citations
Computing tensor operator exponentials within low‐rank tensor formats with application to the parameter‐dependent multigrid method
2023 PAMM article Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Tim A. Werthmann

0

citations
Process-based machine learning for multi-physics and chemistry in geothermal applications: parameter estimation and optimization under uncertainties
2024 RWTH Publications (RWTH Aachen) dissertation Physics and Astronomy Model Reduction and Neural Networks Open access

Ryan Santoso

0

citations
Uncertainty quantification of kinetic models using adjoint-driven active subspace algorithms
2022 Proceedings of the Combustion Institute article Decision Sciences Probabilistic and Robust Engineering Design Open access

Ahmed Hassan, Vincent Le Chenadec, Taraneh Sayadi

4

citations
Uncertainty quantification and sensitivity analysis of an unsteady axisymmetric reacting solid particle
2024 Combustion and Flame article Decision Sciences Probabilistic and Robust Engineering Design

Ahmed Hassan, Leif Schumacher, Vincent Le Chenadec, Taraneh Sayadi

1

citations
Studies of systematic uncertainty effects on IceCube's real-time angular uncertainty
2021 International Cosmic Ray Conference conference-paper Physics and Astronomy Astrophysics and Cosmic Phenomena Open access

Cristina Lagunas Gualda, M. Ackermann, Jenni Adams, Juanan Aguilar, M. Ahlers, Maryon Ahrens, +88 more

9

citations
AN EFFICIENT COMPUTATIONAL METHOD FOR PARAMETER IDENTIFICATION IN THE CONTEXT OF RANDOM SET THEORY VIA BAYESIAN INVERSION
2020 International Journal for Uncertainty Quantification article Decision Sciences Probabilistic and Robust Engineering Design

Truong‐Vinh Hoang, Hermann Georg Matthies

5

citations
A note on tools for prediction under uncertainty and identifiability of SIR-like dynamical systems for epidemiology
2020 Mathematical Biosciences article Medicine Mathematical and Theoretical Epidemiology and Ecology Models Open access

Chiara Piazzola, Lorenzo Tamellini, Raul F. Tempone

30

citations
Iterative model-based experimental design for efficient uncertainty minimization of chemical mechanisms
2020 Proceedings of the Combustion Institute article Chemical Engineering Advanced Combustion Engine Technologies

Florian vom Lehn, Liming Cai, Heinz G. Pitsch

22

citations
A framework for the robust optimization under uncertainty in additive manufacturing
2023 Journal of Manufacturing Processes article Engineering Additive Manufacturing Materials and Processes

Thinh Quy Duc Pham, Truong‐Vinh Hoang, Seifallah Fetni, Laurent Duchêne, Hoang Son Tran, Anne Marie Habraken

15

citations
Advanced error modeling and Bayesian uncertainty quantification in mechanistic liquid chromatography modeling
2023 Journal of Chromatography A article Chemistry Analytical Chemistry and Chromatography

William Heymann, Juliane Glaser, Fabrice Schlegel, Will Johnson, Pablo A. Rolandi, Eric von Lieres

14

citations
MCMC for Bayesian Uncertainty Quantification from Time-Series Data
2020 Lecture notes in computer science conference-paper Mathematics Markov Chains and Monte Carlo Methods Open access

Philip Maybank, Patrick Peltzer, Uwe Naumann, Ingo Bojak

2

citations
Validation and uncertainty quantification of three state-of-the-art ammonia surface exchange schemes using NH 3 flux measurements in a dune ecosystem
2025 Atmospheric chemistry and physics article Earth and Planetary Sciences Atmospheric chemistry and aerosols Open access

Tycho Jongenelen, M.C. van Zanten, Enrico Dammers, Roy Wichink Kruit, Arjan Hensen, Leon Geers, +1 more

6

citations
Validation and uncertainty quantification of three state-of-the-art ammonia surface exchange schemes using NH3 flux measurements in a dune ecosystem
2025 conference-abstract Earth and Planetary Sciences Atmospheric chemistry and aerosols Open access

Tycho Jongenelen, M.C. van Zanten, Enrico Dammers, Roy Wichink Kruit, Arjan Hensen, Leon Geers, +1 more

1

citations
Validation and uncertainty quantification of three state-of-the-art ammonia surface exchange schemes using NH 3 flux measurements in a dune ecosystem
2024 preprint Earth and Planetary Sciences Atmospheric chemistry and aerosols Open access

Tycho Jongenelen, M.C. van Zanten, Enrico Dammers, Roy Wichink Kruit, Arjan Hensen, Leon Geers, +1 more

0

citations
Uncertainty Quantification in Integrated Fuel and Process Design
2024 Energy & Fuels article Engineering Process Optimization and Integration Open access

Marian Panofen, Philipp Ackermann, Jörn Viell, Alexander Mitsos, Manuel Dahmen

11

citations