From

Institution

Field

Type

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

Reset

Papers matching “model uncertainty quantification” 68

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

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

Quantifying uncertainties of satellite NO 2 superobservations for data assimilation and model evaluation
2024 preprint Earth and Planetary Sciences Atmospheric chemistry and aerosols Open access

Pieter Rijsdijk, Henk J. Eskes, Arlene Dingemans, K. F. Boersma, Takashi Sekiya, Kazuyuki Miyazaki, +1 more

6

citations
A one-dimensional model for aspiration in blood vessels
2024 arXiv (Cornell University) preprint Engineering Elasticity and Material Modeling Open access

Niklas Kolbe, Dimitrios Katsaounis, Xiangge Yin, Michael Neidlin

2

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

6

citations
Empirical Evidence That There Is No Such Thing As A Validated Prediction Model
2024 arXiv (Cornell University) preprint Mathematics Statistical Methods in Epidemiology Open access

Florian D. van Leeuwen, Ewout Willem Steyerberg, David V. Klaveren, Ben Wessler, David M. Kent, Erik W. van Zwet

1

citations
Automated geological map deconstruction for 3D model construction
2021 preprint Earth and Planetary Sciences Geological Modeling and Analysis Open access

Mark Jessell, Vitaliy Ogarko, Mark Lindsay, Ranee Joshi, Agnieszka M. Piechocka, Lachlan Grose, +3 more

9

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
Deciding what to replicate: A decision model for replication study selection under resource and knowledge constraints.
2020 preprint Decision Sciences Meta-analysis and systematic reviews Open access

Peder Mortvedt Isager, Robbie C. M. van Aert, Štěpán Bahník, Mark John Brandt, K. Andrew DeSoto, Roger Giner‐Sorolla, +6 more

20

citations
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Richard D. Paul, Alessio Quercia, Vincent Fortuin, Katharina Nöh, Hanno Scharr

0

citations
TANGO CO 2 and NO 2 Observations: Synergistic Usage to Improve Emission Quantification and Characterize Atmospheric Chemistry
2026 preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access

Tobias Borsdorff, Maarten Krol, Pepijn J. Veefkind, Jochen Landgraf

0

citations
Uncertainty in aerosol effective radiative forcing from anthropogenic and natural aerosol parameters in ECHAM6.3-HAM2.3
2025 preprint Environmental Science Atmospheric aerosols and clouds Open access

Yusuf Bhatti, Duncan Watson‐Parris, Leighton A. Regayre, Hailing Jia, David Neubauer, Ulaş İm, +9 more

0

citations
Quantification of carbon monoxide emissions from African cities using TROPOMI
2023 preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access

Gijs Leguijt, Joannes D. Maasakkers, Hugo Denier van der Gon, Arjo J. Segers, Tobias Borsdorff, Ilse Aben

6

citations
Measurement Uncertainty: Relating the uncertainties of physical and virtual measurements
2024 arXiv (Cornell University) preprint Engineering Fault Detection and Control Systems Open access

Simon Cramer, Robert Heinrich Schmitt

1

citations
Quantifying the impact of mitral valve anatomy on clinical markers using surrogate models and sensitivity analysis
2024 preprint Medicine Cardiac Valve Diseases and Treatments Open access

Jan‐Niklas Thiel, Joel Gestrich, Ulrich Steinseifer, Ingeborg Friehs, Daniel Diaz‐Gil, Michael Neidlin

0

citations
PeakPerformance - a tool for Bayesian inference-based fitting of LC-MS/MS peaks
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Metabolomics and Mass Spectrometry Studies Open access

Jochen Nießer, Michael Osthege, Eric von Lieres, Wolfgang Wiechert, Stephan Noack

0

citations
Physics-Based Machine Learning: Opportunities and Challenges for Mantle Convection
2026 preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Marilina Valatsou, Denise Degen, Juliane Dannberg, René Gassmöller, Florian Wellmann

0

citations
Hessian Chain Bracketing
2021 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Uwe Naumann, Shubhaditya Burela

0

citations
Differentiable Scripting
2021 arXiv (Cornell University) preprint Computer Science Computational Physics and Python Applications Open access

Uwe Naumann

0

citations
Perspectives of Physics-Based Machine Learning for Geoscientific Applications Governed by Partial Differential Equations
2023 preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Daniel Caviedes‐Voullième, Susanne Buiter, Harrie-Jan Hendriks Franssen, Harry Vereecken, Ana González‐Nicolás, +1 more

5

citations
Uncertainty assessment of TROPOMI NO 2 over Europe using ground-based remote sensing observations
2026 preprint Earth and Planetary Sciences Atmospheric chemistry and aerosols Open access

Felipe Cifuentes, Henk J. Eskes, Ankie J. M. Piters, Julian Gomez, John Douros, Gaïa Pinardi, +4 more

0

citations
Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties
2022 preprint Environmental Science Air Quality Monitoring and Forecasting Open access

Clara Betancourt, Timo T. Stomberg, Ann-Kathrin Edrich, Ankit Patnala, Martin G. Schultz, Ribana Roscher, +2 more

4

citations
Bayesian Unsupervised Machine Learning Approach to Segment Arctic Sea Ice from SMOS
2020 preprint Earth and Planetary Sciences Arctic and Antarctic ice dynamics Open access

Christoph Herbert, Adriano Camps, Florian Wellmann, Merce Vall-llossera

0

citations
A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping
2021 arXiv (Cornell University) preprint Engineering Robotics and Sensor-Based Localization Open access

Raphael van Kempen, Bastian Lampe, Timo Woopen, Lutz Eckstein

15

citations
Estimating Uncertainties in 3-D Models of Complex Fold-and-Thrust Belts: A Case Study of the Eastern Alps Triangle Zone
2022 SSRN Electronic Journal preprint Earth and Planetary Sciences Geological Modeling and Analysis Open access

Sofia Brisson, Florian Wellmann, Nils Chudalla, Jan von Harten, Christoph von Hagke

2

citations
From Hybrid Mechanistic--Data-Driven Modeling Toward Neuro-Symbolic AI: What, Why, and How
2026 arXiv (Cornell University) preprint Computer Science Logic, Reasoning, and Knowledge Open access

Moein E. Samadi, Andreas Schuppert

0

citations
IUCNN - deep learning approaches to approximate species’ extinction risk
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Environmental Science Species Distribution and Climate Change Open access

Alexander Zizka, Tobias Andermann, Daniele Silvestro

1

citations