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

KISTEP modular pipeline for the characterization of anomalous diffusion trajectories.

This repository contains Python (Jupyter Notebooks), C and Shell code, which was used to generate figures in a paper under the same name.

3D Slicer extension that provides several approaches in order to apply the anomalous spatial filters on medical images.

This repository contains the code for the analysis reported in Physical Review E 96, 022417.

Codes and instructions to replicate the research published in Cobarrubia et al. Frontiers in Physics 2021.

Exploration of voter model with power law time-dependent event rates

First explicit curvature correction formula for fractional Laplacians on curved manifolds. Complete proof via heat kernel expansion, validated computationally on S². Applications in anomalous diffusion, thermal field theory, and curved spacetime physics.