Computing the moments of high dimensional solutions of the master equation. - Stefan Engblom (Appl. Math. Comput., 2006)

Parallel in Time Simulation of Multiscale Stochastic Chemical Kinetics. - Stefan Engblom (Multiscale Model. Simul., 2009)

Simulation of Stochastic Reaction-Diffusion Processes on Unstructured Meshes. - Stefan Engblom; Lars Ferm; Andreas Hellander; Per Lötstedt (SIAM J. Sci. Comput., 2009)

On well-separated sets and fast mutipole methods - Stefan Engblom (CoRR, 2010)

URDME: a modular framework for stochastic simulation of reaction-transport processes in complex geometries. - Brian Drawert; Stefan Engblom; Andreas Hellander (BMC Syst. Biol., 2012)

Sensitivity Estimation and Inverse Problems in Spatial Stochastic Models of Chemical Kinetics. - Pavol Bauer; Stefan Engblom (ENUMATH, 2013)

X-Ray Laser Imaging of Biomolecules Using Multiple GPUs. - Stefan Engblom; Jing Liu 052 (PPAM (1), 2013)

Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU & GPU systems. - Marcus Holm; Stefan Engblom; Anders Goude; Sverker Holmgren (CoRR, 2013)

Adaptive fast multipole methods on the GPU. - Anders Goude; Stefan Engblom (J. Supercomput., 2013)

Approximations for the Moments of Nonstationary and State Dependent Birth-Death Queues. - Stefan Engblom; Jamol Pender (CoRR, 2014)

Dynamic Autotuning of Adaptive Fast Multipole Methods on Hybrid Multicore CPU and GPU Systems. - Marcus Holm; Stefan Engblom; Anders Goude; Sverker Holmgren (SIAM J. Sci. Comput., 2014)

Efficient Inter-Process Synchronization for Parallel Discrete Event Simulation on Multicores. - Pavol Bauer; Jonatan Lindén; Stefan Engblom; Bengt Jonsson 001 (SIGSIM-PADS, 2015)

Machine learning for ultrafast X-ray diffraction patterns on large-scale GPU clusters. - Tomas Ekeberg; Stefan Engblom; Jing Liu 052 (Int. J. High Perform. Comput. Appl., 2015)

Strong Convergence for Split-Step Methods in Stochastic Jump Kinetics. - Stefan Engblom (SIAM J. Numer. Anal., 2015)

Fast event-based epidemiological simulations on national scales. - Pavol Bauer; Stefan Engblom; Stefan Widgren (Int. J. High Perform. Comput. Appl., 2016)

Mesoscopic Modeling of Stochastic Reaction-Diffusion Kinetics in the Subdiffusive Regime. - Emilie Blanc; Stefan Engblom; Andreas Hellander; Per Lötstedt (Multiscale Model. Simul., 2016)

Fast Matlab compatible sparse assembly on multicore computers. - Stefan Engblom; Dimitar Lukarski (Parallel Comput., 2016)

Analysis and Design of Jump Coefficients in Discrete Stochastic Diffusion Models. - Lina Meinecke; Stefan Engblom; Andreas Hellander; Per Lötstedt (SIAM J. Sci. Comput., 2016)

Exposing Inter-Process Information for Efficient Parallel Discrete Event Simulation of Spatial Stochastic Systems. - Jonatan Lindén; Pavol Bauer; Stefan Engblom; Bengt Jonsson 001 (SIGSIM-PADS, 2017)

Multiscale stochastic neuron modeling - with applications in deep brain stimulation (wip). - Aleksandar Senek; Stefan Engblom (SummerSim, 2017)

Assessing Uncertainties in X-ray Single-particle Three-dimensional reconstructions. - Stefan Engblom; Carl Nettelblad; Jing Liu 052 (CoRR, 2017)

Fine-Grained Local Dynamic Load Balancing in PDES. - Jonatan Lindén; Pavol Bauer; Stefan Engblom; Bengt Jonsson 001 (SIGSIM-PADS, 2018)

Stochastic simulation of pattern formation in growing tissue: a multilevel approach. - Stefan Engblom (CoRR, 2018)

Supervised Classification Methods for Flash X-ray single particle diffraction Imaging. - Jing Liu 052; Gijs van der Schot; Stefan Engblom (CoRR, 2018)

Pathwise Error Bounds in Multiscale Variable Splitting Methods for Spatial Stochastic Kinetics. - Augustin Chevallier; Stefan Engblom (SIAM J. Numer. Anal., 2018)

Towards Confident Bayesian Parameter Estimation in Stochastic Chemical Kinetics. - Stefan Engblom; Robin Eriksson; Pedro Vilanova (ENUMATH, 2019)

Flash X-ray diffraction imaging in 3D: a proposed analysis pipeline. - Jing Liu 052; Stefan Engblom; Carl Nettelblad (CoRR, 2019)

Temporal upscaling in micromagnetism via heterogeneous multiscale methods. - Doghonay Arjmand; Stefan Engblom; Gunilla Kreiss (J. Comput. Appl. Math., 2019)

Exposing Inter-process Information for Efficient PDES of Spatial Stochastic Systems on Multicores. - Jonatan Lindén; Pavol Bauer; Stefan Engblom; Bengt Jonsson 001 (ACM Trans. Model. Comput. Simul., 2019)

Distributed and Adaptive Fast Multipole Method In Three Dimensions. - Jonathan Bull; Stefan Engblom (CoRR, 2020)

Initialization of a Disease Transmission Model. - Håkan Runvik; Alexander Medvedev; Robin Eriksson; Stefan Engblom (CoRR, 2020)

Robust and integrative Bayesian neural networks for likelihood-free parameter inference. - Fredrik Wrede; Robin Eriksson; Richard M. Jiang 002; Linda R. Petzold; Stefan Engblom; Andreas Hellander; Prashant Singh (IJCNN, 2022)