Publications

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

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Alejandro García-Castellanos, Aniss Aiman Medbouhi, Giovanni Luca Marchetti, Erik J. Bekkers, Danica Kragic (2025). HyperSteiner: Computing Heuristic Hyperbolic Steiner Minimal Trees. 2025 Proceedings of the Symposium on Algorithm Engineering and Experiments (ALENEX).

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Alejandro Garcı́a Castellanos, Giovanni Luca Marchetti, Danica Kragic, Martina Scolamiero (2024). Relative Representations: Topological and Geometric Perspectives. Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models.

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Putri A. van der Linden, Alejandro García-Castellanos, Sharvaree P. Vadgama, Thijs P. Kuipers, Erik J. Bekkers (2024). Learning symmetries via weight-sharing with doubly stochastic tensors. Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024.

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Alejandro García-Castellanos (2023). Topological regularization and relative latent representations. KTH Royal Institute of Technology.

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Alejandro García-Castellanos (2021). Robustness of persistent homology: the Stability Theorem [in Spanish].

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