85 citations · 302 across the 30 of their papers we have counts for
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stat.ML2021★ 14 cited
Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series
Jonghyeon Lee, Edward De Brouwer, Boumediene Hamzi +1
A simple and interpretable way to learn a dynamical system from data is to interpolate its vector-field with a kernel. In particular, this strategy is highly efficient (both in ter…
physics.ao-ph2021★ 3 cited
Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methods
Boumediene Hamzi, Romit Maulik, Houman Owhadi
Modeling geophysical processes as low-dimensional dynamical systems and regressing their vector field from data is a promising approach for learning emulators of such systems. We s…