1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.NA2025
Convergence for adaptive resampling of random Fourier features
Xin Huang, Aku Kammonen, Anamika Pandey +4
The machine learning random Fourier feature method for data in high dimension is computationally and theoretically attractive since the optimization is based on a convex standard l…
math.NA2020★ 1 cited
A Wasserstein Coupled Particle Filter for Multilevel Estimation
Marco Ballesio, Ajay Jasra, Erik von Schwerin +1
In this paper, we consider the filtering problem for partially observed diffusions, which are regularly observed at discrete times. We are concerned with the case when one must res…
math.NA2018
Multilevel Monte Carlo Acceleration of Seismic Wave Propagation under Uncertainty
Marco Ballesio, Joakim Beck, Anamika Pandey +3
We interpret uncertainty in a model for seismic wave propagation by treating the model parameters as random variables, and apply the Multilevel Monte Carlo (MLMC) method to reduce…