 Likelihood-based generalization of Markov parameter estimation and
multiple shooting objectives in system identification Nicholas Galioto Alex Arkady Gorodetsky |
 Learning "best" kernels from data in Gaussian process regression. With
application to aerodynamicsJournal of Computational Physics (JCP), 2022 |
 DeepParticle: learning invariant measure by a deep neural network
minimizing Wasserstein distance on data generated from an interacting
particle methodJournal of Computational Physics (JCP), 2021 |
 Computational Graph CompletionResearch in the Mathematical Sciences (Res. Math. Sci.), 2021 |
 Data-driven geophysical forecasting: Simple, low-cost, and accurate
baselines with kernel methodsProceedings of the Royal Society A (Proc. R. Soc. A), 2021 |
