Learning symmetries via weight-sharing with doubly stochastic tensors. - Putri A. van der Linden; Alejandro García-Castellanos; Sharvaree P. Vadgama; Thijs P. Kuipers; Erik J. Bekkers (NeurIPS, 2024)

HyperSteiner: Computing Heuristic Hyperbolic Steiner Minimal Trees. - Alejandro García-Castellanos; Aniss Aiman Medbouhi; Giovanni Luca Marchetti; Erik J. Bekkers; Danica Kragic (CoRR, 2024)

Relative Representations: Topological and Geometric Perspectives. - Alejandro García-Castellanos; Giovanni Luca Marchetti; Danica Kragic; Martina Scolamiero (UniReps, 2025)

Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces. - Alejandro García-Castellanos; David R. Wessels; Nicky J. van den Berg; Remco Duits; Daniël M. Pelt; Erik J. Bekkers (CoRR, 2025)