83 citations · 153 across the 6 of their papers we have counts for
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cond-mat.soft2023★ 12 cited
Learning minimal representations of stochastic processes with variational autoencoders
Gabriel Fernández-Fernández, Carlo Manzo, Maciej Lewenstein +2
Stochastic processes have found numerous applications in science, as they are broadly used to model a variety of natural phenomena. Due to their intrinsic randomness and uncertaint…
cond-mat.soft2023★ 35 cited
Inferring pointwise diffusion properties of single trajectories with deep learning
Borja Requena, Sergi Masó, Joan Bertran +3
In order to characterize the mechanisms governing the diffusion of particles in biological scenarios, it is essential to accurately determine their diffusive properties. To do so,…