3 papers
physics.data-an2024
Unbalanced optimal transport for stochastic particle tracking
Kairui Hao, Atharva Hans, Pavlos Vlachos +1
Non-invasive flow measurement techniques, such as particle tracking velocimetry, resolve 3D velocity fields by pairing tracer particle positions in successive time steps. These tra…
stat.ML2024
Neural information field filter
Kairui Hao, Ilias Bilionis
We introduce neural information field filter, a Bayesian state and parameter estimation method for high-dimensional nonlinear dynamical systems given large measurement datasets. So…
physics.data-an2023
An information field theory approach to Bayesian state and parameter estimation in dynamical systems
Kairui Hao, Ilias Bilionis
Dynamical system state estimation and parameter calibration problems are ubiquitous across science and engineering. Bayesian approaches to the problem are the gold standard as they…