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    Riemannian Metric Matching paper shared with code, pretrained models and tutorials

    A coauthor says the paper was presented as an oral at ICML in summer 2026 and received the Best Short Paper Award at the ICLR GRAM workshop.

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    TLDR

    The Riemannian Metric Matching team says it has put together code, pretrained models and tutorial notebooks to accompany the paper. Its announcement highlights an oral presentation at ICML in summer 2026 and the Best Short Paper Award at the ICLR GRAM workshop. A coauthor describes the work as a step toward neural diffusion geometry, while stressing that replacing kernel- and graph-based geometry with deep learning is a big challenge.

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    3 Sources, first seen 15d ago

    Combined views

    5.9K

    3 Sources, first seen 15d ago

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    15d ago
    first seen 15d ago
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    42 saves
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    3 Sources

    @jacobbambWe’ve also put together code, pretrained models and tutorial notebooks 👇 Joint work with @AGosztolai , @trekkinglemon, @mmbronstein, @iolo_jones 📰 Paper: https://arxiv.org/abs/2606.14334 💻Code: https://github.com/jacobbamb/metric-matching
    @iolo_jonesKernel/graph based geometry can only go so far and it’s a big challenge to replace it with deep learning. We’re so excited to share this step towards neural diffusion geometry! Plus lots more to come.
    @mmbronsteinRT @iolo_jones: Kernel/graph based geometry can only go so far and it’s a big challenge to replace it with deep learning. We’re so excite…

    3 Sources

    @jacobbambWe’ve also put together code, pretrained models and tutorial notebooks 👇 Joint work with @AGosztolai , @trekkinglemon, @mmbronstein, @iolo_jones 📰 Paper: https://arxiv.org/abs/2606.14334 💻Code: https://github.com/jacobbamb/metric-matching
    @iolo_jonesKernel/graph based geometry can only go so far and it’s a big challenge to replace it with deep learning. We’re so excited to share this step towards neural diffusion geometry! Plus lots more to come.
    @mmbronsteinRT @iolo_jones: Kernel/graph based geometry can only go so far and it’s a big challenge to replace it with deep learning. We’re so excite…

    Sentiment

    Positive——Negative

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    Not enough discussion yet.

    No sentiment analysis available yet.