Reachability analysis of neural networks using mixed monotonicity

Pierre-Jean Meyer

DOI: 10.1109/lcsys.2022.3182547
Published: 2022-01-01
Container: IEEE Control Systems Letters
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1109/lcsys.2022.3182547,
  title = {Reachability analysis of neural networks using mixed monotonicity},
  author = {Pierre-Jean Meyer},
  year = {2022},
  journal = {IEEE Control Systems Letters},
  doi = {10.1109/lcsys.2022.3182547},
  url = {https://doi.org/10.1109/lcsys.2022.3182547}
}

RIS

TY  - JOUR
TI  - Reachability analysis of neural networks using mixed monotonicity
AU  - Pierre-Jean Meyer
PY  - 2022
JO  - IEEE Control Systems Letters
DO  - 10.1109/lcsys.2022.3182547
UR  - https://doi.org/10.1109/lcsys.2022.3182547
ER  -

APA

Meyer, P. (2022). Reachability analysis of neural networks using mixed monotonicity. IEEE Control Systems Letters. https://doi.org/10.1109/lcsys.2022.3182547

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hal · retrieved 2026-09-25T20:59:15.430Z