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2025
Mark Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems
McQuarrie, Shane A. ; Chaudhuri, Anirban ; Willcox, Karen E. and Guo, Mengwu ^LU (2025) In Physica D: Nonlinear Phenomena 475.
- Contribution to journal › Article
Mark Robust Predictive Motion Planning by Learning Obstacle Uncertainty
Zhou, Jian ; Gao, Yulong ; Johansson, Ola ; Olofsson, Björn ^LU and Frisk, Erik (2025) In IEEE Transactions on Control Systems Technology
- Contribution to journal › Article
Mark Trustworthiness for Deep Learning Based Breast Cancer Detection Using Point-of-Care Ultrasound Imaging in Low-Resource Settings
Wodrich, Marisa ^LU ; Karlsson, Jennie ^LU ; Lång, Kristina ^LU and Arvidsson, Ida ^LU (2025) 1st MICCAI Meets Africa Workshop, MImA 2024 and 1st MICCAI Student Board Workshop on Empowering Medical Information Computing and Research through Early-Career Expertise, EMERGE 2024, Held in Conjunction with MICCAI 2024 In Communications in Computer and Information Science 2240. p.42-51
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2024
Mark Gaussian process learning of nonlinear dynamics
Ye, Dongwei and Guo, Mengwu ^LU (2024) In Communications in Nonlinear Science and Numerical Simulation 138.
- Contribution to journal › Article
2023
Mark A probabilistic assessment of surface water-groundwater exchange flux at a PCE contaminated site using groundwater modelling
Benavides Höglund, Nikolas ^LU ; Sparrenbom, Charlotte ^LU and Hugman, Rui (2023) In Frontiers in Earth Science 11.
- Contribution to journal › Article
Mark Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression
Cicci, Ludovica ; Fresca, Stefania ; Guo, Mengwu ^LU ; Manzoni, Andrea and Zunino, Paolo (2023) In Computers and Mathematics with Applications 149. p.1-23
- Contribution to journal › Article
2022
Mark Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis
Raices Cruz, Ivette ^LU ; Lindström, Johan ^LU ; Troffaes, Matthias C.M. and Sahlin, Ullrika ^LU (2022) In Computational Statistics and Data Analysis 176.
- Contribution to journal › Article
Mark Bayesian operator inference for data-driven reduced-order modeling
Guo, Mengwu ^LU ; McQuarrie, Shane A. and Willcox, Karen E. (2022) In Computer Methods in Applied Mechanics and Engineering 402.
- Contribution to journal › Article
2018
Mark Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress : The 2015 International Aneurysm CFD Challenge
Valen-Sendstad, Kristian ; Bergersen, Aslak W. ; Shimogonya, Yuji ; Goubergrits, Leonid ; Bruening, Jan ; Pallares, Jordi ; Cito, Salvatore ; Piskin, Senol ; Pekkan, Kerem and Geers, Arjan J. , et al. (2018) In Cardiovascular Engineering and Technology 9(4). p.544-564
- Contribution to journal › Article
Mark Matching experimental and three dimensional numerical models for structural vibration problems with uncertainties
Langer, P. ; Sepahvand, K. ; Guist, C. ; Bär, J. ; Peplow, A. ^LU and Marburg, S. (2018) In Journal of Sound and Vibration 417. p.294-305
- Contribution to journal › Article

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