Phaedon-Stelios Koutsourelakis
Orcid: 0000-0002-9345-759XAffiliations:
- Technical University of Munich, Germany
According to our database1,
Phaedon-Stelios Koutsourelakis
authored at least 27 papers
between 2007 and 2023.
Collaborative distances:
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Bibliography
2023
Model bias identification for Bayesian calibration of stochastic digital twins of bridges.
CoRR, 2023
CoRR, 2023
A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty.
CoRR, 2023
2022
2021
A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables.
J. Comput. Phys., 2021
Self-supervised optimization of random material microstructures in the small-data regime.
CoRR, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems.
J. Comput. Phys., 2020
Embedded-physics machine learning for coarse-graining and collective variable discovery without data.
CoRR, 2020
A Generalized Probabilistic Learning Approach for Multi-Fidelity Uncertainty Propagation in Complex Physical Simulations.
CoRR, 2020
2019
Bayesian Model and Dimension Reduction for Uncertainty Propagation: Applications in Random Media.
SIAM/ASA J. Uncertain. Quantification, 2019
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data.
J. Comput. Phys., 2019
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime.
J. Comput. Phys., 2019
2018
A data-driven model order reduction approach for Stokes flow through random porous media.
CoRR, 2018
2017
Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics.
J. Comput. Phys., 2017
2016
J. Comput. Phys., 2016
J. Comput. Phys., 2016
2012
Free energy computations by minimization of Kullback-Leibler divergence: An efficient adaptive biasing potential method for sparse representations.
J. Comput. Phys., 2012
2011
Scalable Bayesian Reduced-Order Models for Simulating High-Dimensional Multiscale Dynamical Systems.
Multiscale Model. Simul., 2011
2009
SIAM J. Sci. Comput., 2009
A multi-resolution, non-parametric, Bayesian framework for identification of spatially-varying model parameters.
J. Comput. Phys., 2009
2008
Proceedings of the Social Information Processing, 2008
2007
J. Comput. Phys., 2007