Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage. - Xabier Morales; Jordi Mill; Guillem Simeon; Kristine A. Juhl; Ole De Backer; Rasmus R. Paulsen; Oscar Camara 001 (FIMH, 2021)

Riemannian Geometry of Functional Connectivity Matrices for Multi-Site Attention-Deficit/Hyperactivity Disorder Data Harmonization. - Guillem Simeon; Gemma Piella; Oscar Camara 001; Deborah Pareto (Frontiers Neuroinformatics, 2022)

TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials. - Guillem Simeon; Gianni De Fabritiis (NeurIPS, 2023)

TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations. - Raúl P. Peláez; Guillem Simeon; Raimondas Galvelis; Antonio Mirarchi; Peter K. Eastman; Stefan Doerr; Philipp Thölke; Thomas E. Markland; Gianni De Fabritiis (CoRR, 2024)

On the Inclusion of Charge and Spin States in Cartesian Tensor Neural Network Potentials. - Guillem Simeon; Antonio Mirarchi; Raúl P. Peláez; Raimondas Galvelis; Gianni De Fabritiis (CoRR, 2024)

AMARO: All Heavy-Atom Transferable Neural Network Potentials of Protein Thermodynamics. - Antonio Mirarchi; Raúl P. Peláez; Guillem Simeon; Gianni De Fabritiis (CoRR, 2024)