My research focuses on using machine learning models to explore chaotic dynamics. I am specifically interested in reservoir computing models, and applications of scientific machine learning to nonlinear dynamics.

Selected Publications

For a full and always up to date list please check my Scholar profile.

  • Minimal deterministic echo state networks outperform random reservoirs in learning chaotic dynamics. pub Martinuzzi, F. Chaos: An Interdisciplinary Journal of Nonlinear Science, 35, no. 9 (2025).

  • Learning extreme vegetation response to climate drivers with recurrent neural networks. pub Martinuzzi, F., Mahecha, M. D., Camps-Valls, G., Montero, D., Williams, T., & Mora, K. Nonlinear Processes in Geophysics, 31, no. 4 (2024)

  • SpectralIndices. jl: Streamlining spectral indices access and computation for Earth system research. pub Martinuzzi, F., Mahecha, M., Montero, D., Alonso, L., and Mora, K. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2024)

  • ReservoirComputing.jl: An efficient and modular library for reservoir computing models. pub Martinuzzi, F., Rackauckas, C., AbdelRehim, A., Mahecha, M. D. and Mora, K. Journal of Machine Learning Research (2022)

Invited Talks

  • On the Predictability of Vegetation Greenness with Recurrent Neural Networks MPI for the Physics of Complex Systems, Dresden, Germany (2025)

  • On the Predictability of Biosphere Dynamics with Machine Learning Technical University Munich, Munich, Germany (2024)

  • Using echo state networks to model vegetation extreme responses to meteorological drivers ESA Science Hub, Remote (2024)

  • On Recurrent Neural Networks and Extreme Events: Application to Biosphere Dynamics 3rd ELLIS Workshop Machine Learning for Earth and Climate Sciences program, Valencia, Spain (2023)

  • An Introduction to Julia for Scientific Computing code slides Parc Científic de la Universitat de València, Valencia, Spain (2023)

  • Learning Biosphere Responses to Climate Drivers Using Echo State Observers slides ELLIS Unit Jena Kickoff 2023, Jena, Germany (2023)