Francesco Martinuzzi

15 papers C 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Storage and selection of multiple chaotic attractors in minimal reservoir computers.
CoRR
Francesco Martinuzzi, Holger Kantz
2025 J jnl
A sensitivity analysis of cellular automata and heterogeneous topology networks: partially-local cellular automata and homogeneous homogeneous random boolean networks.
Int. J. Parallel Emergent Distributed Syst.
Tom Eivind Glover, Ruben Jahren, Francesco Martinuzzi, Pedro G. Lind, Stefano Nichele
2025 J jnl
Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics.
CoRR
Francesco Martinuzzi
2025 J jnl
Transformers vs. Recurrent Models for Estimating Forest Gross Primary Production.
CoRR
David Montero, Miguel D. Mahecha, Francesco Martinuzzi, César Aybar, Anne Klosterhalfen, Alexander Knohl, Jesús Anaya, Clemens Mosig, Sebastian Wieneke
2025 J jnl
Unified Implementations of Recurrent Neural Networks in Multiple Deep Learning Frameworks.
CoRR
Francesco Martinuzzi
2024 J jnl
A Sensitivity Analysis of Cellular Automata and Heterogeneous Topology Networks: Partially-Local Cellular Automata and Homogeneous Homogeneous Random Boolean Networks.
CoRR
Tom Eivind Glover, Ruben Jahren, Francesco Martinuzzi, Pedro G. Lind, Stefano Nichele
2024 J jnl
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges.
CoRR
Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Adrian Höhl, Andrea Castelletti, Aytac Pacal, Claire Robin, Francesco Martinuzzi, Ioannis Papoutsis, Ioannis Prapas, Jorge Pérez-Aracil, Katja Weigel, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel D. Mahecha, Oana-Iuliana Popescu, Oscar J. Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, Tristan Williams
2024 J jnl
DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes.
CoRR
Chaonan Ji, Tonio Fincke, Vitus Benson, Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Fabian Gans, Guido Kraemer, Francesco Martinuzzi, David Montero, Karin Mora, Oscar J. Pellicer-Valero, Claire Robin, Maximilian Söchting, Mélanie Weynants, Miguel D. Mahecha
2024 J jnl
Earth System Data Cubes: Avenues for advancing Earth system research.
CoRR
David Montero, Guido Kraemer, Anca Anghelea, César Aybar, Gunnar Brandt, Gustau Camps-Valls, Felix Cremer, Ida Flik, Fabian Gans, Sarah Habershon, Chaonan Ji, Teja Kattenborn, Laura Martínez-Ferrer, Francesco Martinuzzi, Martin Reinhardt, Maximilian Söchting, Khalil Teber, Miguel D. Mahecha
2024 C conf
Recurrent Neural Networks for Modelling Gross Primary Production.
IGARSS
David Montero, Miguel D. Mahecha, Francesco Martinuzzi, César Aybar, Anne Klosterhalfen, Alexander Knohl, Franziska Koebsch, Jesús Anaya, Sebastian Wieneke
2024 J jnl
Recurrent Neural Networks for Modelling Gross Primary Production.
CoRR
David Montero, Miguel D. Mahecha, Francesco Martinuzzi, César Aybar, Anne Klosterhalfen, Alexander Knohl, Franziska Koebsch, Jesús Anaya, Sebastian Wieneke
2022 — conf
Composing Modeling And Simulation With Machine Learning In Julia.
ANNSIM
Chris Rackauckas, Maja Gwózdz, Anand Jain, Yingbo Ma, Francesco Martinuzzi, Utkarsh Rajput, Elliot Saba, Viral B. Shah, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Avik Pal, Chris Laughman
2022 J jnl
ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models.
CoRR
Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora
2022 J jnl
ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models.
J. Mach. Learn. Res.
Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora
2021 J jnl
Composing Modeling and Simulation with Machine Learning in Julia.
CoRR
Christopher Rackauckas, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Maja Gwózdz, Anand Jain, Chris Laughman, Yingbo Ma, Francesco Martinuzzi, Avik Pal, Utkarsh Rajput, Elliot Saba, Viral B. Shah