1 citations · 1 across the 2 of their papers we have counts for
4 papers
Gradient-free Importance Sampling Scheme for Efficient Reliability Estimation
Elsayed Eshra, Konstantinos G. Papakonstantinou
This work presents a novel gradient-free importance sampling-based framework for precisely and efficiently estimating rare event probabilities, often encountered in reliability ana…
A Direct Importance Sampling-based Framework for Rare Event Uncertainty Quantification in Non-Gaussian Spaces
Elsayed Eshra, Konstantinos G. Papakonstantinou, Hamed Nikbakht
This work introduces a novel framework for precisely and efficiently estimating rare event probabilities in complex, high-dimensional non-Gaussian spaces, building on our foundatio…
WildGraph: Realistic Graph-based Trajectory Generation for Wildlife
Ali Al-Lawati, Elsayed Eshra, Prasenjit Mitra
Trajectory generation is an important task in movement studies; it circumvents the privacy, ethical, and technical challenges of collecting real trajectories from the target popula…
WildGEN: Long-horizon Trajectory Generation for Wildlife
Ali Al-Lawati, Elsayed Eshra, Prasenjit Mitra
Trajectory generation is an important concern in pedestrian, vehicle, and wildlife movement studies. Generated trajectories help enrich the training corpus in relation to deep lear…