Publications

(2025). Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces.

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(2025). Symmetry-Aware Graph Metanetwork Autoencoders: Model Merging through Parameter Canonicalization. arXiv preprint arXiv:2511.12601.

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(2025). Symmetry-Aware Fully-Amortized Optimization with Scale Equivariant Graph Metanetworks. CoRR.

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(2025). Randomized HyperSteiner: A Stochastic Delaunay Triangulation Heuristic for the Hyperbolic Steiner Minimal Tree. CoRR.

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(2025). HyperSteiner: Computing Heuristic Hyperbolic Steiner Minimal Trees. 2025 Proceedings of the Symposium on Algorithm Engineering and Experiments (ALENEX).

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(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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(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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(2023). Topological regularization and relative latent representations. KTH Royal Institute of Technology.

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