publications

Here are my publications in reverse chronological order.

2025

  1. Preprint
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    Carré du champ flow matching: better quality-generalisation tradeoff in generative models
    Jacob Bamberger, Iolo Jones, Dennis Duncan, Michael M. Bronstein, Pierre Vandergheynst, and Adam Gosztolai
    2025
    arXiv
  2. NeurIPS
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    Over-squashing in Spatiotemporal Graph Neural Networks
    Ivan Marisca, Jacob Bamberger, Cesare Alippi, and Michael M Bronstein
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
    arXiv
  3. ICML
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    On Measuring Long-Range Interactions in Graph Neural Networks
    Jacob Bamberger, Benjamin Gutteridge, Scott Roux, Michael M. Bronstein, and Xiaowen Dong
    In Forty-second International Conference on Machine Learning, 2025
    arXiv
  4. ICLR
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    Bundle Neural Network for message diffusion on graphs
    Jacob Bamberger, Federico Barbero, Xiaowen Dong, and Michael M. Bronstein
    In The Thirteenth International Conference on Learning Representations, 2025
    arXiv

2024

  1. Good stackings, bislim structures, and invariant staggerings
    Jacob Bamberger, David Carrier, Jonah Gaster, and Daniel T Wise
    Michigan Mathematical Journal, 2024
    arXiv

2022

  1. TAG in ML @ ICML
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    A Topological Characterisation of Weisfeiler-Leman Equivalence Classes 
    Jacob Bamberger
    In Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022, 2022
    arXiv
  2. Failure of the finitely generated intersection property for ascending HNN extensions of free groups
    Jacob Bamberger and Daniel T Wise
    International Journal of Algebra and Computation, 2022
    arXiv