4 citations · 8 across the 9 of their papers we have counts for
3 papers · 1 filter
Feature preserving data assimilation via feature alignment
Amit N. Subrahmanya, Adrian Sandu
Data assimilation combines information from physical observations and numerical simulation results to obtain better estimates of the state and parameters of a physical system. A wi…
Preserving Nonlinear Constraints in Variational Flow Filtering Data Assimilation
Amit N. Subrahmanya, Andrey A. Popov, Reid J. Gomillion +1
Data assimilation aims to estimate the states of a dynamical system by optimally combining sparse and noisy observations of the physical system with uncertain forecasts produced by…
Ensemble Variational Fokker-Planck Methods for Data Assimilation
Amit N Subrahmanya, Andrey A Popov, Adrian Sandu
Particle flow filters solve Bayesian inference problems by smoothly transforming a set of particles into samples from the posterior distribution. Particles move in state space unde…