From

Institution

Field

Type

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

Reset

Papers matching “structural uncertainty” 52

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

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

Uncertainty-Gated Adapter for Visual Autoregressive Generation
2025 International Conference on Big Data and Data Mining (BDDM) conference-paper Computer Science Generative Adversarial Networks and Image Synthesis

Yanran Xu, Guangyao Xiong, Xun Jia Su

0

citations
How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Debargha Ghosh, Silja Renooij, Anna Kononova

0

citations
Residual bayesian attention networks for uncertainty quantification in regression tasks
2025 Scientific Reports article Computer Science Gaussian Processes and Bayesian Inference Open access

Youliang Chen, Wencan Guan, Rafig Azzam

10

citations
Uncertainty, probability and causality in hepatology
2026 npj gut and liver. article Computer Science Bayesian Modeling and Causal Inference Open access

Benjamin P. M. Laevens, F. P. Pijpers, Carolin V. Schneider

0

citations
Structure-exploiting uncertainty quantification and control : Bayesian inference and Itô SDE methods from MRI segmentation to autonomous sensing
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Medical Image Segmentation Techniques Open access

Felix Terhag

0

citations
Latent Diffusion over Dynamic Service Graphs for Uncertainty-Quantified Failure Propagation Prediction
2025 American Journal of Data Science and Analysis article Computer Science Software System Performance and Reliability Open access

J. Richter, Elena Popescu

0

citations
A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization
2023 EBioMedicine article Computer Science Machine Learning in Healthcare Open access

Claudio Fanconi, Anne de Hond, Dylan Joseph Peterson, Angelo Capodici, Tina Hernandez‐Boussard

11

citations
Biased Dreams: Limitations to Epistemic Uncertainty Quantification in Latent Dynamics Models
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Julia Berger, Bernd Frauenknecht, Sebastian Trimpe, Bastian Leibe

4

citations
When are researchers willing to share their data? – Impacts of values and uncertainty on open data in academia
2020 PLoS ONE article Computer Science Research Data Management Practices Open access

Stefan Stieglitz, Konstantin L. Wilms, Milad Mirbabaie, Lennart Hofeditz, Bela Brenger, Ania López, +1 more

70

citations
Uncertainty quantification in machine learning: confidence intervals for high-dimensional regression
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Sparse and Compressive Sensing Techniques Open access

Frederik Hoppe

0

citations
An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty
2025 Journal of Artificial Intelligence Research article Computer Science Formal Methods in Verification Open access

Roman Andriushchenko, Milan Češka, Filip Macák, Sebastian Junges, Joost-Pieter Katoen

6

citations
A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals
2025 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Graph Neural Networks Open access

Lennard Rompelberg, Michael T. Schaub

2

citations
Making multidisciplinary optimization fit for practical usage in car body development
2023 Structural and Multidisciplinary Optimization article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Jana Büttner, Axel Schumacher, Thomas Bäck, Štefan Schwarz

7

citations
Large-scale non-contact strain measurement using diffraction of optical grating arrays
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Optical measurement and interference techniques Open access

0

citations
dcFCI: Robust Causal Discovery Under Latent Confounding, Unfaithfulness, and Mixed Data
2026 IEEE Transactions on Pattern Analysis and Machine Intelligence article Computer Science Bayesian Modeling and Causal Inference Open access

Adèle H. Ribeiro, Dominik Heider

7

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
Simultaneous variances of Pauli strings, weighted independence numbers, and a new kind of perfection of graphs
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Zhen‐Peng Xu, Jie Wang, Gereon Koßmann, René Schwonnek, Andreas Winter

8

citations
moves-rwth/stormpy: v1.12.0
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Formal Methods in Verification Open access

Matthias Volk, Sebastian Junges, Hannah, Tom Janson, Linus, Tim Quatmann, +12 more

0

citations
V‐UNet: Medical Image Segmentation Based on Variational Attention Mechanism
2025 CAAI Transactions on Intelligence Technology article Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent

Yang Zhang, Li Tian, Fanghong Zhang, Yu Ren, Yinhao Li, Chuanyun Xu

5

citations
Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI
2024 Journal of Cardiovascular Magnetic Resonance article Computer Science Medical Image Segmentation Techniques Open access

Xiaowu Sun, Li‐Hsin Cheng, Sven Plein, Pankaj Kumar Garg, Rob J. van der Geest

28

citations
Robust minimum cost flow problem under consistent flow constraints
2021 Annals of Operations Research article Computer Science Complexity and Algorithms in Graphs Open access

Christina Büsing, Arie M. C. A. Koster, Sabrina Schmitz

10

citations
Recoverable robust optimization with commitment
2026 Mathematical Programming article Computer Science Complexity and Algorithms in Graphs Open access

Komal Muluk, Britta Peis

7

citations
Long-Memory Reservoir Computing for Data-Scarce Dengue Forecasting
2026 arXiv (Cornell University) preprint Computer Science Neural Networks and Reservoir Computing Open access

Rahul Goswami, Shinjini Paul, Palash Ghosh, Tanujit Chakraborty

1

citations
Probabilistic Model Checking Taken by Storm
2026 Lecture notes in computer science conference-paper Computer Science Formal Methods in Verification Open access

Matthias Volk, Linus Heck, Sebastian Junges, Joost-Pieter Katoen, Tim Quatmann

0

citations
Robust Minimum Cost Flow Problem Under Consistent Flow Constraints
2020 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Christina Büsing, Arie M. C. A. Koster, Sabrina Schmitz

0

citations