Totally Discrete Explicit and Semi-implicit Euler Methods for a Blow-up Problem in Several Space Dimensions. - Pablo Groisman (Computing, 2006)

Nonparametric likelihood based estimation for a multivariate Lipschitz density. - Daniel Carando; Ricardo Fraiman; Pablo Groisman (J. Multivar. Anal., 2009)

A robust clustering method for detection of abnormal situations in a process with multiple steady-state operation modes. - Mauricio Maestri; Andrés Farall; Pablo Groisman; Miryan Cassanello; Gabriel Horowitz (Comput. Chem. Eng., 2010)

Weighted Geodesic Distance Following Fermat's Principle. - Facundo Sapienza; Pablo Groisman; Matthieu Jonckheere (ICLR (Workshop), 2018)

Point Process Models for Distribution of Cell Phone Antennas. - Ezequiel Fattori; Pablo Groisman; Carlos Sarraute (CoRR, 2018)

Intrinsic Persistent Homology via Density-based Metric Learning. - Ximena Fernández; Eugenio Borghini; Gabriel B. Mindlin; Pablo Groisman (J. Mach. Learn. Res., 2023)

Siamese networks for Poincaré embeddings and the reconstruction of evolutionary trees. - Ciro Carvallo; Hernan Bocaccio; Gabriel B. Mindlin; Pablo Groisman (CoRR, 2024)

Choosing the parameter of the Fermat distance: navigating geometry and noise. - Frédéric Chazal; Laure Ferraris; Pablo Groisman; Matthieu Jonckheere; Frédéric Pascal 001; Facundo Sapienza (Trans. Mach. Learn. Res., 2024)

The Energy Landscape of the Kuramoto Model in Random Geometric Graphs in a Circle. - Cecilia De Vita; Julián Fernández Bonder; Pablo Groisman (SIAM J. Appl. Dyn. Syst., 2025)