kooplearn: A scikit-learn compatible library of algorithms for evolution operator learning

Giacomo Turri; Grégoire Pacreau; Giacomo Meanti; Timothée Devergne; Daniel Ordoñez-Apraez; Erfan Mirzaei; Bruno Belucci; Karim Lounici; Vladimir R. Kostic; Massimiliano Pontil; Pietro Novelli

doi:10.21105/joss.10342

Review

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Authors

Giacomo Turri (0000-0002-3405-9292), Grégoire Pacreau, Giacomo Meanti (0000-0002-4633-2954), Timothée Devergne (0000-0001-8369-237X), Daniel Ordoñez-Apraez (0000-0002-9793-2482), Erfan Mirzaei (0000-0001-8720-1558), Bruno Belucci, Karim Lounici (0000-0001-6806-6303), Vladimir R. Kostic (0000-0002-2876-8834), Massimiliano Pontil (0000-0001-9415-098X), Pietro Novelli (0000-0003-1623-5659)

Citation

Turri et al., (2026). kooplearn: A scikit-learn compatible library of algorithms for evolution operator learning. Journal of Open Source Software, 11(122), 10342, https://doi.org/10.21105/joss.10342

@article{Turri2026, doi = {10.21105/joss.10342}, url = {https://doi.org/10.21105/joss.10342}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {122}, pages = {10342}, author = {Turri, Giacomo and Pacreau, Grégoire and Meanti, Giacomo and Devergne, Timothée and Ordoñez-Apraez, Daniel and Mirzaei, Erfan and Belucci, Bruno and Lounici, Karim and Kostic, Vladimir R. and Pontil, Massimiliano and Novelli, Pietro}, title = {kooplearn: A scikit-learn compatible library of algorithms for evolution operator learning}, journal = {Journal of Open Source Software} }

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