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Papers matching “Bayesian uncertainty” 255

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Kernel method for gravity forward simulation in implicit probabilistic geologic modeling
2023 Geophysics article Earth and Planetary Sciences Geological Modeling and Analysis

Zhouji Liang, Miguel de la Varga, Florian Wellmann

3

citations
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Robert Scheichl

1

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
Integrated Multimodal Data Pipelines for Intelligent Security Monitoring in Smart Cities
2025 Preprints.org preprint Computer Science Video Surveillance and Tracking Methods Open access

Johannes Richter, Felix K. Wagner

0

citations
The site selection data hub: a data-centric approach for integrated simulation workflow management in radioactive waste disposal site selection
2024 conference-abstract Engineering Nuclear and radioactivity studies Open access

Qian Chen, Marc S. Boxberg, Nino Menzel, Maria Fernanda Morales Oreamuno, Wolfgang Nowak, Sergey Oladyshkin, +2 more

0

citations
Inversion of Hydraulic Tomography Data from the Grimsel Test Site with a Discrete Fracture Network Model
2022 conference-abstract Environmental Science Groundwater flow and contamination studies Open access

Lisa Maria Ringel, Mohammadreza Jalali, Peter Bayer

0

citations
Phantom-Conditioned Nested Sampling
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Joshua G. Albert

0

citations
Production ramp-up in multi-stage discrete manufacturing systems: A conceptual framework for model-based quality maturity assurance in the automotive industry based on a systematic literature review
2025 Procedia CIRP review Engineering Manufacturing Process and Optimization Open access

Marcos Padrón Hinrichs, Felix Sohnius, Robert Heinrich Schmitt

0

citations
Probabilistic Constrained Bayesion Inversion for Transpiration Cooling
2022 arXiv (Cornell University) preprint Decision Sciences Probabilistic and Robust Engineering Design Open access

Ella Steins, Tan Bui–Thanh, Michaël Herty

0

citations
Probabilistic Machine Learning in Structural Geology
2020 conference-abstract Earth and Planetary Sciences Geological Modeling and Analysis Open access

Miguel de la Varga, Florian Wellmann

1

citations
High-efficiency design of combustion kinetic experiments based on genetic algorithm
2022 Proceedings of the Combustion Institute article Chemical Engineering Advanced Combustion Engine Technologies

Zijun Zhou, Can Huang, Keli Lin, Yiru Wang, Chung King Law, Bin Yang

8

citations
Probabilistic machine learning for pattern recognition and design exploration
2021 RWTH Publications (RWTH Aachen) dissertation Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Cremanns

3

citations
MCMC-Based Probabilistic Damage Characterization for Plate Structures Using Responses at Vibration Nodes
2021 Lecture notes in civil engineering conference-paper Engineering Structural Health Monitoring Techniques

Tianxiang Huang, Chengrui Wan, Kai‐Uwe Schröder

1

citations
Least squares and marginal log-likelihood model predictive control using normalizing flows
2025 RWTH Publications (RWTH Aachen) article Engineering Advanced Control Systems Optimization 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

2

citations
Inner approximations of coherent lower probabilities and their application to decision making problems
2023 Annals of Operations Research article Computer Science Bayesian Modeling and Causal Inference Open access

Enrique Miranda, Ignacio Montes, Andrés Presa

6

citations
Surrogate Modelling of Dynamic Phasor Simulations of Electrical Drives
2022 Proceedings of the Annual Conference of the IEEE Industrial Electronics Society conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access

Nasrulloh Ratu Bagus Satrio Loka, Sriram Karthik Gurumurthy, Bernard S. Amevor, Antonello Monti, Tom Dhaene, Ivo Couckuyt

4

citations
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange‐Hegermann, Fabian Mies

0

citations
KernelMatmul: Scaling Gaussian Processes to Large Time Series
2025 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access

Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek

0

citations
Instability of the AUROC of Clinical Prediction Models
2025 Statistics in Medicine article Mathematics Statistical Methods in Epidemiology Open access cited by 1 patent

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

19

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
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

2

citations
Meta-analysis with a single study
2025 Statistical Methods in Medical Research article Decision Sciences Meta-analysis and systematic reviews Open access

Erik W. van Zwet, Witold Więcek, Andrew Gelman

1

citations
Analysis of a Class of Multilevel Markov Chain Monte Carlo Algorithms Based on Independent Metropolis–Hastings
2023 SIAM/ASA Journal on Uncertainty Quantification article Mathematics Markov Chains and Monte Carlo Methods Open access

Juan P. Madrigal-Cianci, Fabio Nobile, Raul F. Tempone

11

citations
COVID‐19: A Defining Moment for Clinical Pharmacology?
2020 Clinical Pharmacology & Therapeutics article Medicine COVID-19 Clinical Research Studies

Piet H. van der Graaf, Kathleen M. Giacomini

15

citations