518 citations · 877 across the 16 of their papers we have counts for
4 papers · 1 filter
Optimized Sampling for Multiscale Dynamics
Krithika Manohar, Eurika Kaiser, Steven L. Brunton +1
The characterization of intermittent, multiscale and transient dynamics using data-driven analysis remains an open challenge. We demonstrate an application of the Dynamic Mode Deco…
Predicting shim gaps in aircraft assembly with machine learning and sparse sensing
Krithika Manohar, Thomas Hogan, Jim Buttrick +3
A modern aircraft may require on the order of thousands of custom shims to fill gaps between structural components in the airframe that arise due to manufacturing tolerances adding…
Randomized CP Tensor Decomposition
N. Benjamin Erichson, Krithika Manohar, Steven L. Brunton +1
The CANDECOMP/PARAFAC (CP) tensor decomposition is a popular dimensionality-reduction method for multiway data. Dimensionality reduction is often sought after since many high-dimen…
Data-Driven Sparse Sensor Placement for Reconstruction
Krithika Manohar, Bingni W. Brunton, J. Nathan Kutz +1
Optimal sensor placement is a central challenge in the design, prediction, estimation, and control of high-dimensional systems. High-dimensional states can often leverage a latent…