RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness

Julia Submitted 13 April 2024Published 13 February 2025
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Editor: @lucaferranti (all papers)
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Authors

Nicholas H. Barbara (0000-0002-4885-3307), Max Revay (0000-0002-8954-8907), Ruigang Wang (0000-0002-9954-4547), Jing Cheng (0009-0003-5058-2133), Ian R. Manchester (0000-0002-7035-3173)

Citation

Barbara et al., (2025). RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness. The Proceedings of the JuliaCon Conferences, 7(68), 163, https://doi.org/10.21105/jcon.00163

@article{Barbara2025, doi = {10.21105/jcon.00163}, url = {https://doi.org/10.21105/jcon.00163}, year = {2025}, publisher = {The Open Journal}, volume = {7}, number = {68}, pages = {163}, author = {Nicholas H. Barbara and Max Revay and Ruigang Wang and Jing Cheng and Ian R. Manchester}, title = {RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness}, journal = {Proceedings of the JuliaCon Conferences} }
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Robustness Machine Learning Image Classification Reinforcement Learning State Estimation Data-Driven Control

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ISSN 2642-4029