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Publications

Categories

  • research 12
  • dynamical systems 8
  • systems biology 1
  • collective behaviour 2
  • machine learning 6
  • computational neuroscience 5
  • geometry 8
  • generative modelling 4
  • Figure from Diffusion Processes on Implicit Manifolds

    Diffusion Processes on Implicit Manifolds

    Kawasaki-Borruat, V., Grotehans, C., Vandergheynst, P., Gosztolai, A.

    arXiv (2026)

    [paper]

  • Figure from Riemannian Metric Matching for Scalable Geometric Modelling of Distributions

    Riemannian Metric Matching for Scalable Geometric Modelling of Distributions

    Bamberger, J., Gosztolai, A., Vandergheynst, P., Bronstein, M., Jones, J.

    ICML 2026 (oral) and ICLR 2026 Workshop GRaM (oral)

    [paper]

  • Figure from Carré du champ flow matching: better quality-generalisation tradeoff in generative models

    Carré du champ flow matching: better quality-generalisation tradeoff in generative models

    Bamberger, J., Jones, J., Duncan, D., Bronstein, M., Vandergheynst, P., Gosztolai, A.

    ICLR (2026)

    [paper] [code]

  • Figure from A universal dynamic routing architecture governs the flow of human cortical activity

    A universal dynamic routing architecture governs the flow of human cortical activity

    Vinao-Carl, M., Peach, R. L., Gosztolai, A., David, M. C. B., Mallas, E. J., Kurtin, D., Alania, K., Jaramillo, V., Violante, I. R., Sharp, D. J., Grossman, N.

    bioRxiv (2025)

    [paper]

  • Figure from MARBLE: Interpretable representations of neural dynamics using geometric deep learning

    MARBLE: Interpretable representations of neural dynamics using geometric deep learning

    Gosztolai, A., Peach, R. L., Arnaudon, A., Barahona, M., Vandergheynst, P.

    Nature Methods (2025)

    [paper] [code] [blog post]

  • Figure from Implicit Gaussian process representation of vector fields over arbitrary latent manifolds

    Implicit Gaussian process representation of vector fields over arbitrary latent manifolds

    Peach, R. L., Vinao-Varl, M., Grossman, N., David, M., Mallas, E., Sharp, D., Malhotra, P. A., Vandergheynst, P., Gosztolai, A.

    ICLR (2024)

    [paper] [code]

  • Figure from Connecting the dots in ethology: applying network theory to understand neural and animal collectives

    Connecting the dots in ethology: applying network theory to understand neural and animal collectives

    Gosztolai, A., Ramdya, P.

    Current Opinion in Neurobiology (2022)

    [paper]

  • Figure from LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

    LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

    Gosztolai, A., Günel, S., Lobato-Ríos, V., Abrate, M. P., Morales, D., Rhodin, H., Fua, P., Ramdya, P.

    Nature Methods (2021)

    [paper] [code] [video summary] [blog post]

  • Figure from Unfolding the multiscale structure of networks with dynamical Ollivier-Ricci curvature

    Unfolding the multiscale structure of networks with dynamical Ollivier-Ricci curvature

    Gosztolai, A., Arnaudon, A.

    Nature Communications (2021)

    [paper] [code] [blog post]

  • Figure from Cellular memory enhances bacterial chemotactic navigation in rugged environments

    Cellular memory enhances bacterial chemotactic navigation in rugged environments

    Gosztolai, A., Barahona, M.

    Communications Physics (2020)

    [paper] [code] [blog post]

  • Figure from Collective search with finite perception: transient dynamics and search efficiency

    Collective search with finite perception: transient dynamics and search efficiency

    Gosztolai, A., Carrillo, J. A., Barahona, M.

    Frontiers in Physics (2019)

    [paper] [code] [blog post]

  • Figure from GlnK facilitates the dynamic regulation of bacterial nitrogen assimilation

    GlnK facilitates the dynamic regulation of bacterial nitrogen assimilation

    Gosztolai, A., Schumacher, J., Behrends, V., Bundy, J. G., Heydenreich, F., Bennett, M. H., Buck, M., Barahona, M.

    Biophysical Journal (2017)

    [paper] [code]