Uncovering differential equations from data with hidden variables. - Agustín Somacal; Leonardo Boechi; Matthieu Jonckheere; Vincent Lefieux; Dominique Picard; Ezequiel Smucler (CoRR, 2020)

Clustering high dimensional meteorological scenarios: Results and performance index. - Yamila Barrera; Leonardo Boechi; Matthieu Jonckheere; Vincent Lefieux; Dominique Picard; Ezequiel Smucler; Agustín Somacal; Alfredo Umfurer (Int. J. Approx. Reason., 2021)

Deep Learning-based Schemes for Singularly Perturbed Convection-Diffusion Problems. - A. Beguinet; Virginie Ehrlacher; R. Flenghi; M. Fuente; Olga Mula; Agustín Somacal (CoRR, 2022)

Nonlinear approximation spaces for inverse problems. - Albert Cohen 002; Matthieu Dolbeault; Olga Mula; Agustín Somacal (CoRR, 2022)

High order recovery of geometric interfaces from cell-average data. - Albert Cohen 002; Olga Mula; Agustín Somacal (CoRR, 2024)

State estimation of urban air pollution with statistical, physical, and super-learning graph models. - Matthieu Dolbeault; Olga Mula; Agustín Somacal (CoRR, 2024)

Model reduction for forward simulation and inverse problems : towards non-linear approaches. (Réduction de modèle pour la simulation directe et les problèmes inverses : vers les approches non-linéaires). - Agustín Somacal (2024)