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20172026
most citedProbabilistic response and rare events in Mathieu's equation under correlated parametric excitation

34 citations · 69 across the 25 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

physics.geo-ph2020

Probabilistic characterization of the effect of transient stochastic loads on the fatigue-crack nucleation time

Stephen Guth, Themistoklis P. Sapsis

The rainflow counting algorithm for material fatigue is both simple to implement and extraordinarily successful for predicting material failure times. However, it neglects memory e…

stat.ML2020

Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification

Antoine Blanchard, Themistoklis Sapsis

We introduce a class of acquisition functions for sample selection that leads to faster convergence in applications related to Bayesian experimental design and uncertainty quantifi…

stat.ML2020

Sparse Methods for Automatic Relevance Determination

Samuel H. Rudy, Themistoklis P. Sapsis

This work considers methods for imposing sparsity in Bayesian regression with applications in nonlinear system identification. We first review automatic relevance determination (AR…

math.NA2020

A Local Spectral Exterior Calculus for the Sphere and Application to the Shallow Water Equations

Clauson Carvalho da Silva, Christian Lessig, Boyko Dodov +2

We introduce , a local spectral exterior calculus for the two-sphere . provides a discretization of Cartan's exterior calculus on formed by…

stat.ML2020

Informative Path Planning for Extreme Anomaly Detection in Environment Exploration and Monitoring

Antoine Blanchard, Themistoklis Sapsis

An unmanned autonomous vehicle (UAV) is sent on a mission to explore and reconstruct an unknown environment from a series of measurements collected by Bayesian optimization. The su…

cs.LG2020

Bayesian Optimization with Output-Weighted Optimal Sampling

Antoine Blanchard, Themistoklis Sapsis

In Bayesian optimization, accounting for the importance of the output relative to the input is a crucial yet challenging exercise, as it can considerably improve the final result b…