17 citations · 26 across the 12 of their papers we have counts for
3 papers · 1 filter
Ensemble Riemannian Data Assimilation over the Wasserstein Space
Sagar K. Tamang, Ardeshir Ebtehaj, Peter J. Van Leeuwen +2
In this paper, we present an ensemble data assimilation paradigm over a Riemannian manifold equipped with the Wasserstein metric. Unlike the Eulerian penalization of error in the E…
Novelty Detection via Robust Variational Autoencoding
Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
We propose a new method for novelty detection that can tolerate high corruption of the training points, whereas previous works assumed either no or very low corruption. Our method…
Regularized Variational Data Assimilation for Bias Treatment using the Wasserstein Metric
Sagar K. Tamang, Ardeshir Ebtehaj, Dongmian Zou +1
This paper presents a new variational data assimilation (VDA) approach for the formal treatment of bias in both model outputs and observations. This approach relies on the Wasserst…