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01/27/2023
From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics
A data-driven framework is presented, that enables the prediction of qua...
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04/30/2022
Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles
We construct a reduced, data-driven, parameter dependent effective Stoch...
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04/26/2022
Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space
We introduce a data-driven approach to building reduced dynamical models...
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10/13/2021
On the Parameter Combinations That Matter and on Those That do Not
We present a data-driven approach to characterizing nonidentifiability o...
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04/27/2021
