@inproceedings{d0cc62fe8a554aa3ade5d50682d2add4,
title = "A Categorical Framework for Learning Generalised Tree Automata",
author = "Heerdt, {Gerco van} and Tobias Kapp{\'e} and Jurriaan Rot and Matteo Sammartino and Alexandra Silva",
note = "Funding Information: Acknowledgements. T. Kapp{\'e}was partially supported by the European Union{\textquoteright}s Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No. 101027412 (VERLAN), as well as ERC Starting Grant 679127 (ProFoundNet). Gerco van Heerdt, Matteo Sammartino, and Alexandra Silva were partially supported by the EPSRC Standard Grant CLeVer (EP/S028641/1). Publisher Copyright: {\textcopyright} 2022, IFIP International Federation for Information Processing.; 16th IFIP WG 1.3 International Workshop on Coalgebraic Methods in Computer Science, CMCS 2022, colocated with European Joint Conference on Theory and Practice of Software, ETAPS 2022 ; Conference date: 02-04-2022 Through 03-04-2022",
year = "2022",
month = jul,
day = "23",
doi = "10.1007/978-3-031-10736-8_4",
language = "English",
isbn = "978-3-031-10735-1",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "67--87",
editor = "Hansen, {Helle Hvid} and Fabio Zanasi",
booktitle = "Coalgebraic Methods in Computer Science",
address = "Germany",
}