
Probabilistic characterization of the effect of transient stochastic loads on the fatiguecrack nucleation time
The rainflow counting algorithm for material fatigue is both simple to i...
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Sparse Methods for Automatic Relevance Determination
This work considers methods for imposing sparsity in Bayesian regression...
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Forecasting of Spatiotemporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms
How effective are Recurrent Neural Networks (RNNs) in forecasting the sp...
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Machine Learning the Tangent Space of Dynamical Instabilities from Data
For a large class of dynamical systems, the optimally timedependent (OT...
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Outputweighted optimal sampling for Bayesian regression and rare event statistics using few samples
For many important problems the quantity of interest (or output) is an u...
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A sequential sampling strategy for extreme event statistics in nonlinear dynamical systems
We develop a method for the evaluation of extreme event statistics assoc...
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DataDriven Forecasting of HighDimensional Chaotic Systems with LongShort Term Memory Networks
We introduce a datadriven forecasting method for high dimensional, chao...
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Extreme events and their optimal mitigation in nonlinear structural systems excited by stochastic loads: Application to ocean engineering systems
We develop an efficient numerical method for the probabilistic quantific...
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Themistoklis P. Sapsis
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