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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 Bayesian optimization across the spectrum of knowledge : enhancing efficiency through beliefs, information and assumptions
Hvarfner, Carl ^LU (2025)
- Thesis › Doctoral thesis (compilation)
Mark Bayesian optimization in high dimensions : a journey through subspaces and challenges
Papenmeier, Leonard ^LU (2025)
- Thesis › Doctoral thesis (compilation)
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 Effect of uncertainty of material parameters on stress triaxiality and Lode angle in finite elasto-plasticity—A variance-based global sensitivity analysis
Böddecker, M. ; Faes, M. G.R. ; Menzel, A. ^LU and Valdebenito, M. A. (2023) In Advances in Industrial and Manufacturing Engineering 7.
- Contribution to journal › Article
Mark Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces
Papenmeier, Leonard ^LU ; Nardi, Luigi ^LU and Poloczek, Matthias (2023) 37th Conference on Neural Information Processing Systems, NeurIPS 2023
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Recursive Spatial Covariance Estimation with Sparse Priors for Sound Field Interpolation
Sundstrom, David ^LU ; Lindstrom, Johan ^LU and Jakobsson, Andreas ^LU (2023) 22nd IEEE Statistical Signal Processing Workshop, SSP 2023 In IEEE Workshop on Statistical Signal Processing Proceedings 2023-July. p.517-521
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2022
Mark Effective persistency evaluation via exact excursion distributions for random processes and fields
Lindgren, Georg ^LU ; Podgórski, Krzysztof ^LU and Rychlik, Igor ^LU (2022) In Journal of Physics Communications 6.
- Contribution to journal › Article
Mark Learning control for ﬂex-fuel CI engine and fuel cell
Li, Xiufei ^LU (2022)
- Thesis › Doctoral thesis (compilation)
Mark Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
Papenmeier, Leonard ^LU ; Nardi, Luigi ^LU and Poloczek, Matthias (2022) Advances in Neural Information Processing Systems 35, NeurIPS 2022
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding

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