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Francesco Martinuzzi
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2020 – today
- 2024
- [i6]David Montero, Miguel D. Mahecha, Francesco Martinuzzi, César Aybar, Anne Klosterhalfen, Alexander Knohl, Franziska Koebsch, Jesús Anaya, Sebastian Wieneke:
Recurrent Neural Networks for Modelling Gross Primary Production. CoRR abs/2404.12745 (2024) - [i5]Chaonan Ji, Tonio Fincke, Vitus Benson, Gustau Camps-Valls, Miguel-Angel Fernandez-Torres, Fabian Gans, Guido Kraemer, Francesco Martinuzzi, David Montero, Karin Mora
, Oscar J. Pellicer-Valero, Claire Robin, Maximilian Söchting, Mélanie Weynants, Miguel D. Mahecha:
DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes. CoRR abs/2406.18179 (2024) - [i4]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:
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. CoRR abs/2406.20080 (2024) - [i3]Tom Eivind Glover, Ruben Jahren, Francesco Martinuzzi, Pedro G. Lind, Stefano Nichele:
A Sensitivity Analysis of Cellular Automata and Heterogeneous Topology Networks: Partially-Local Cellular Automata and Homogeneous Homogeneous Random Boolean Networks. CoRR abs/2407.18017 (2024) - 2022
- [j1]Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora
:
ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models. J. Mach. Learn. Res. 23: 288:1-288:8 (2022) - [c1]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:
Composing Modeling And Simulation With Machine Learning In Julia. ANNSIM 2022: 1-17 - [i2]Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora
:
ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models. CoRR abs/2204.05117 (2022) - 2021
- [i1]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:
Composing Modeling and Simulation with Machine Learning in Julia. CoRR abs/2105.05946 (2021)
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