Posters

Topological Data Analysis in ATM: The shape of big flight data sets, with L. Guijarro, R. M. Arnaldo and F. Gómez

Fermat principle in Riemannian geometry, with E. Borghini, G. Mindlin and P. Groisman

Stable rank: An application to semi-supervised learning, with A. Guidolin and A. Romero

Computing bi-parameter matching distance via the Extended Pareto Grid

Towards persistent homology as a tool to analyze deep neural networks

Estimating the dimensionality of complex networks using persistent homology, with C. Casacuberta, A. Ferrà and M. Á. Serrano

Persistence landscapes and correlation: An application to financial multivariate time series