Conceptual Foundations for Adversarial Validation in Materials Machine Learning

iamrp.net-sjnB-1791561620-r211533095 1791561620 Institute for Advanced Materials Research Press info@iamrp.net Institute for Advanced Materials Research Press Journal of Artificial Intelligence for Materials Science J. Artif. Intell. Mater. Sci. 3149-8957 2022 1 1 Conceptual Foundations for Adversarial Validation in Materials Machine Learning Lucas Meyer Anna Schmid Stefan Braun 2022 10.68159/r211533095 https://iamrp.net/pub/journal/1/article/r211533095 Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, et al. Generative adversarial networks. Commun ACM. 2020;63(11):139-44. Niu S, Liu Y, Wang J, Song H. A decade survey of transfer learning (2010-2020). IEEE Trans Artif Intell. 2021;1(2):151-66. Nasteski V. An overview of the supervised machine learning methods. Horizons. 2017;4:51-62. Kulinski S, Bagchi S, Inouye DI. Feature shift detection: Localizing which features have shifted via conditional distribution tests. NeurIPS. 2020;33:19523-33. 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