~/papers

A (not always) up-to-date list of my publications. Check my Google Scholar for the latest. All my papers are open access. If you find one paywalled, let me know and I'll send you a PDF.

* * *

17. Storage and recall of multiple chaotic attractors in minimal reservoir computers pub
Martinuzzi F., Kantz H. — Chaos 36 (2026)
Editor's Pick
16. Kernel detrended fluctuation analysis: A nonlinear, multivariate method for detecting long-range persistence pub
T. Williams, H. Durand, T. Braun, Martinuzzi F., D. Montero, M. D. Mahecha, G. Camps-Valls — Chaos 36 (2026)
15. Transformers vs. Recurrent Models for Estimating Forest Gross Primary Production arxiv
Montero D., Mahecha M. D., Martinuzzi F., Aybar C., Klosterhalfen A., Knohl A., Anaya J., Mosig C., Wieneke S. — arXiv:2511.11880 (2025)
14. Unified Implementations of Recurrent Neural Networks in Multiple Deep Learning Frameworks arxiv
Martinuzzi F. — arXiv:2510.21252 (2025)
13. Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics pub
Martinuzzi F. — Chaos 35 (2025)
12. Artificial Intelligence for Modeling and Understanding Extreme Weather and Climate Events pub
Camps-Valls G., Fernández-Torres M.-Á., Cohrs K.-H., Höhl A., Castelletti A., Pacal A., Robin C., Martinuzzi F., Papoutsis I., Prapas I., Pérez-Aracil J., Weigel K., Gonzalez-Calabuig M., Reichstein M., Rabel M., Giuliani M., Mahecha M. D., Popescu O.-I., Pellicer-Valero O. J., Ouala S., Salcedo-Sanz S., Sippel S., Kondylatos S., Happé T., Williams T. — Nature Communications 16 (2025)
11. Sub-Seasonal Forest Carbon Dynamics Lose Persistence Under Extremes pub
Williams T. K. E., Moreno-Martínez Á., Martinuzzi F., Mahecha M. D., Camps-Valls G. — Environmental Research Letters 20 (2025)
10. DeepExtremeCubes: Earth System Spatio-Temporal Data for Assessing Compound Heatwave and Drought Impacts pub
Ji C., Fincke T., Benson V., Camps-Valls G., Fernández-Torres M.-Á., Gans F., Kraemer G., Martinuzzi F., Montero D., Mora K., Pellicer-Valero O. J., Robin C., Söchting M., Weynants M., Mahecha M. D. — Scientific Data 12 (2025)
9. A Sensitivity Analysis of Cellular Automata and Heterogeneous Topology Networks: Partially-Local Cellular Automata and Homogeneous Random Boolean Networks pub
Glover T. E., Jahren R., Martinuzzi F., Lind P. G., Nichele S. — Int. J. of Parallel, Emergent and Distributed Systems 40 (2025)
8. Recurrent Neural Networks for Modelling Gross Primary Production pub
Montero D., Mahecha M. D., Martinuzzi F., Aybar C., Klosterhalfen A., Knohl A., Koebsch F., Anaya J., Wieneke S. — IGARSS 2024
7. Earth System Data Cubes: Avenues for Advancing Earth System Research pub
Montero D., Kraemer G., Anghelea A., Aybar C., Brandt G., Camps-Valls G., Cremer F., Flik I., Gans F., Habershon S., Ji C., Kattenborn T., Martínez-Ferrer L., Martinuzzi F., Reinhardt M., Söchting M., Teber K., Mahecha M. D. — Environmental Data Science 3 (2024)
6. 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 (2024)
5. SpectralIndices.jl: Streamlining Spectral Indices Access and Computation for Earth System Research pub
Martinuzzi F., Mahecha M. D., Montero D., Alonso L., Mora K. — ISPRS Archives 48 (2024)
4. A Standardized Catalogue of Spectral Indices to Advance the Use of Remote Sensing in Earth System Research pub
Montero D., Aybar C., Mahecha M. D., Martinuzzi F., Söchting M., Wieneke S. — Scientific Data 10 (2023)
3. ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models pub
Martinuzzi F., Rackauckas C., Abdelrehim A., Mahecha M. D., Mora K. — JMLR 23 (2022)
2. Composing Modeling and Simulation with Machine Learning in Julia pub
Rackauckas C., Gwozdz M., Jain A., Ma Y., Martinuzzi F., Rajput U., Saba E., Shah V. B., Anantharaman R., Edelman A., Gowda S., Pal A., Laughman C. — ANNSIM 2022
1. Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components pub
Anantharaman R., Abdelrehim A., Martinuzzi F., Yalburgi S., Saba E., Fischer K., Hertz G., de Vos P., Laughman C., Ma Y., Shah V., Edelman A., Rackauckas C. — AAAI 2022 Workshop (ADAM)