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Papers matching “uncertainty characterization” 11

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Exploring Uncertainty Visualization for Degenerate Tensors in 3D Symmetric Second-Order Tensor Field Ensembles
2024 conference-paper Computer Science Computer Graphics and Visualization Techniques Open access

Tim Gerrits

2

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
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

2

citations
Improved AI Planning for Cooperating Teams of Humans and Robots
2020 Zenodo (CERN European Organization for Nuclear Research) article Computer Science AI-based Problem Solving and Planning Open access

Stefan-Octavian Bezrucav, Burkhard J. Corves

6

citations
Robust transshipment problem under consistent flow constraints
2023 Networks article Computer Science Complexity and Algorithms in Graphs Open access

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

1

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
Robust transshipment problem under consistent flow constraints
2022 RWTH Publications (RWTH Aachen) article Computer Science Complexity and Algorithms in Graphs Open access

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

0

citations
Synthesis and analysis of neural-network-based control in cyber-physical systems
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Formal Methods in Verification Open access

László Antal

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

0

citations
Systematic assessment of transcriptomic and phenotypic biological profiling for mechanism-based hazard assessment using target-annotated reference chemicals in renal proximal tubular epithelial cells
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access

Hugo W van Kessel, Marlene Wedler, Palle Steen Helmke, Dace Zigure, Stephen Ferguson, Joshua Harrill, +5 more

0

citations

11 results