21 citations · 39 across the 4 of their papers we have counts for
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cs.CE2024★ 1 cited
Calibration of stochastic, agent-based neuron growth models with Approximate Bayesian Computation
Tobias Duswald, Lukas Breitwieser, Thomas Thorne +2
Understanding how genetically encoded rules drive and guide complex neuronal growth processes is essential to comprehending the brain's architecture, and agent-based models (ABMs)…
cs.CE2024★ 9 cited
Finite elements for Matérn-type random fields: Uncertainty in computational mechanics and design optimization
Tobias Duswald, Brendan Keith, Boyan Lazarov +2
This work highlights an approach for incorporating realistic uncertainties into scientific computing workflows based on finite elements, focusing on applications in computational m…