publications

2024

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    Aurora: A Foundation Model of the Atmosphere
    Cristian Bodnar*, Wessel Bruinsma*, Ana Lucic*, and 14 more authors
    May 2024
    arXiv

2023

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    On the Expressive Power of Geometric Graph Neural Networks
    Chaitanya K Joshi*, Cristian Bodnar*, Simon V Mathis, and 2 more authors
    In International Conference on Machine Learning, May 2023
    arXiv Code

2022

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    Topological Deep Learning: Graphs, Complexes, Sheaves
    Cristian Bodnar
    PhD Thesis, University of Cambridge, May 2022
    Website
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    Sheaf Attention Networks
    Federico Barbero, Cristian Bodnar, Haitz Sáez Ocáriz Borde, and 1 more author
    In NeurIPS 2022 Workshop on SymFmetry and Geometry in Neural Representations (Oral), May 2022
    PDF
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    Surfing on the Neural Sheaf
    Julian Suk*, Lorenzo Giusti*, Tamir Hemo*, and 3 more authors
    In NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, May 2022
    PDF
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    Sheaf Neural Networks with Connection Laplacians
    Federico Barbero, Cristian Bodnar, Haitz Sáez Ocáriz Borde, and 3 more authors
    In Topological, Algebraic and Geometric Learning Workshops, May 2022
    arXiv
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    Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
    Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, and 2 more authors
    In Advances in Neural Information Processing Systems, May 2022
    arXiv Blog Code

2021

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    Weisfeiler and Lehman Go Cellular: CW Networks
    Cristian Bodnar*, Fabrizio Frasca*, Nina Otter, and 4 more authors
    Advances in Neural Information Processing Systems, May 2021
    arXiv Blog Code
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    Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
    Cristian Bodnar*, Fabrizio Frasca*, Yuguang Wang*, and 4 more authors
    In International Conference on Machine Learning, May 2021
    arXiv Blog Code
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    Neural ODE Processes
    Alexander Norcliffe*, Cristian Bodnar*, Ben Day*, and 2 more authors
    In International Conference on Learning Representations, May 2021
    arXiv Code
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    Deep Graph Mapper: Seeing Graphs through the Neural Lens
    Cristian Bodnar*, Cătălina Cangea*, and Pietro Liò
    Frontiers in Big Data, May 2021
    PDF
  5. metric_space_rl.png
    A metric space perspective on self-supervised policy adaptation
    Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, and 1 more author
    IEEE Robotics and Automation Letters, May 2021
    PDF

2020

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    On Second Order Behaviour in Augmented Neural ODEs
    Alexander Norcliffe, Cristian Bodnar, Ben Day, and 2 more authors
    Advances in Neural Information Processing Systems, May 2020
    arXiv Code
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    Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
    Cristian Bodnar, Adrian Li, Karol Hausman, and 2 more authors
    In Robotics: Science and Systems (Best Systems Paper Finalist), May 2020
    arXiv Website
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    Proximal distilled evolutionary reinforcement learning
    Cristian Bodnar, Ben Day, and Pietro Lió
    In Proceedings of the AAAI Conference on Artificial Intelligence, May 2020
    arXiv Code
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    The Role of Isomorphism Classes in Multi-Relational Datasets
    Vijja Wichitwechkarn*, Ben Day*, Cristian Bodnar*, and 2 more authors
    AAAI Workshop on Graphs and more Complex structures for Learning and Reasoning, May 2020
    arXiv