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Papers matching “structural uncertainty” 15

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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
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
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
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 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

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

0

citations
Bayesian Optimization via Continual Variational Last Layer Training
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek

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
Probabilistic Model Checking Taken by Storm
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

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

0

citations
A Decade of Learning-Based Control: From Theoretic Foundations to Practical Deployment
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Angela P. Schoellig, Matthias A. Müller, Sebastian Trimpe, Melanie N. Zeilinger, Mahathi Anand, Andrea Carron, +5 more

0

citations
Gibbs Variational Last Layers for Long-Horizon Dynamics Learning
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Paul Brunzema, Henrik Hose, Sebastian Trimpe

0

citations
Fuzzy k-anonymity in complex networks
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

R. Jong, Mark van der Loo, Frank W. Takes

0

citations
Fuzzy k-anonymity in complex networks
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

R. Jong, Mark van der Loo, Frank W. Takes

0

citations
DATA-DRIVEN CAUSAL DISCOVERY IN CATALYSIS
2026 ChemRxiv preprint Computer Science Bayesian Modeling and Causal Inference Open access

Bárbara Alves Sequeira, Adèle H. Ribeiro, Catarina Barata, Carmen Bacariza, Pedro S. F. Mendes

0

citations
Adapting Software Architectures to Machine Learning Challenges
2021 arXiv (Cornell University) preprint Computer Science Advanced Software Engineering Methodologies Open access

Alex Serban, Joost Visser

0

citations

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