Static Load Balancing for Multi-level Monte Carlo Finite Volume Solvers. - Jonas Sukys; Siddhartha Mishra; Christoph Schwab (PPAM (1), 2011)

Multi-level Monte Carlo finite volume methods for nonlinear systems of conservation laws in multi-dimensions. - Siddhartha Mishra; Christoph Schwab; Jonas Sukys (J. Comput. Phys., 2012)

Multilevel Monte Carlo Finite Volume Methods for Shallow Water Equations with Uncertain Topography in Multi-dimensions. - Siddhartha Mishra; Christoph Schwab; Jonas Sukys (SIAM J. Sci. Comput., 2012)

Adaptive Load Balancing for Massively Parallel Multi-Level Monte Carlo Solvers. - Jonas Sukys (PPAM (1), 2013)

Multi-level Monte Carlo Finite Volume Methods for Uncertainty Quantification in Nonlinear Systems of Balance Laws. - Siddhartha Mishra; Christoph Schwab; Jonas Sukys (Uncertainty Quantification in Computational Fluid Dynamics, 2013)

Multilevel Monte Carlo Simulation of Statistical Solutions to the Navier-Stokes Equations. - Andrea Barth; Christoph Schwab; Jonas Sukys (MCQMC, 2014)

High throughput simulations of two-phase flows on Blue Gene/Q. - Panagiotis E. Hadjidoukas; Diego Rossinelli; Fabian Wermelinger; Jonas Sukys; Ursula Rasthofer; Christian Conti; Babak Hejazialhosseini; Petros Koumoutsakos (PARCO, 2015)

Multi-level Monte Carlo finite volume methods for uncertainty quantification of acoustic wave propagation in random heterogeneous layered medium. - Siddhartha Mishra; Christoph Schwab; Jonas Sukys (J. Comput. Phys., 2016)

SPUX: Scalable Particle Markov Chain Monte Carlo for Uncertainty Quantification in Stochastic Ecological Models. - Jonas Sukys; Mira Kattwinkel (PARCO, 2017)

Optimal fidelity multi-level Monte Carlo for quantification of uncertainty in simulations of cloud cavitation collapse. - Jonas Sukys; Ursula Rasthofer; Fabian Wermelinger; Panagiotis E. Hadjidoukas; Petros Koumoutsakos (CoRR, 2017)

Multilevel Control Variates for Uncertainty Quantification in Simulations of Cloud Cavitation. - Jonas Sukys; Ursula Rasthofer; Fabian Wermelinger; Panagiotis E. Hadjidoukas; Petros Koumoutsakos (SIAM J. Sci. Comput., 2018)

SPUX Framework: a Scalable Package for Bayesian Uncertainty Quantification and Propagation. - Jonas Sukys; Marco Bacci (CoRR, 2021)

Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network. - Michael Stalder; Firat Ozdemir; Artur Safin; Jonas Sukys; Damien Bouffard; Fernando Pérez-Cruz (CoRR, 2021)