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- 2024
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Mark
Gaussian process learning of nonlinear dynamics
(
- Contribution to journal › Article
- 2023
-
Mark
Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces
2023) 37th Conference on Neural Information Processing Systems, NeurIPS 2023(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Effect of uncertainty of material parameters on stress triaxiality and Lode angle in finite elasto-plasticity—A variance-based global sensitivity analysis
(
- Contribution to journal › Article
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Mark
Recursive Spatial Covariance Estimation with Sparse Priors for Sound Field Interpolation
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
Learning control for flex-fuel CI engine and fuel cell
2022)(
- Thesis › Doctoral thesis (compilation)
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Mark
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
2022) Advances in Neural Information Processing Systems 35, NeurIPS 2022(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Effective persistency evaluation via exact excursion distributions for random processes and fields
(
- Contribution to journal › Article
- 2018
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Mark
Accelerating delayed-acceptance Markov chain Monte Carlo algorithms
2018)(
- Working paper/Preprint › Working paper
- 2011
-
Mark
Monotone spectral density estimation
(
- Contribution to journal › Article
- 2010
-
Mark
Slope distribution in front-back asymmetric stochastic Lagrange time waves
(
- Contribution to journal › Article