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anomalous-diffusion

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GabrielFernandezFernandez / SPIVAE

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Stochastic processes insights from VAE. Code for the paper: Learning minimal representations of stochastic processes with variational autoencoders.

time-series knowledge-discovery representation-learning feature-learning interpretability variational-autoencoder unsupervised-machine-learning stochastic-models fractional-brownian-motion brownian-motion autoregressive-models anomalous-diffusion single-trajectory-characterization scaled-brownian-motion
  • Updated Jun 11, 2024
  • Jupyter Notebook

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