Grigo, Constantin;Koutsourelakis, Phaedon-Stelios.Bayesian Model and Dimension Reduction for Uncertainty Propagation: Applications in Random Media.SIAM/ASA Journal on Uncertainty Quantification.2019.7.1.292-323

Felsberger, Lukas;Koutsourelakis, Phaedon-Stelios.Physics-Constrained, Data-Driven Discovery of Coarse-Grained Dynamics.Communications in Computational Physics.2019.25.5

Grigo, Constantin;Koutsourelakis, Phaedon-Stelios.A data-driven model order reduction approach for Stokes flow through random porous media.PAMM.2018.18.1.e201800314

Koschade, Maximilian;Koutsourelakis, Phaedon-Stelios.A probabilistic white-box model for PDE constrained inverse problems.PAMM.2018.18.1.e201800338

Schöberl, Markus;Zabaras, Nicholas;Koutsourelakis, Phaedon-Stelios.Predictive collective variable discovery with deep Bayesian models.The Journal of Chemical Physics.2019.150.2.024109

Bruder, Lukas;Koutsourelakis, Phaedon-Stelios.BEYOND BLACK-BOXES IN BAYESIAN INVERSE PROBLEMS AND MODEL VALIDATION: APPLICATIONS IN SOLID MECHANICS OF ELASTOGRAPHY.International Journal for Uncertainty Quantification.2018

Quaglino, A.;Pezzuto, S.;Koutsourelakis, P.-S.;Auricchio, A.;Krause, R..Fast uncertainty quantification of activation sequences in patient-specific cardiac electrophysiology meeting clinical time constraints.International Journal for Numerical Methods in Biomedical Engineering.2018

Grigo, Constantin; Koutsourelakis, P.-S..Probabilistic Reduced-Order Modeling for Stochastic Partial Differential Equations.19.UNCECOMP 17.2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering.2017

Schöberl, Markus;Zabaras, Nicholas;Koutsourelakis, Phaedon-Stelios.Predictive coarse-graining.Journal of Computational Physics.2017.333.Mar.49-77

Franck, I.M.;Koutsourelakis, P.S..Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics.Journal of Computational Physics.2017.329.Jan.91-125