Adversarially-regularized mixed effects deep learning (ARMED)#
A framework for building mixed effects neural networks for clustered and non-iid data, as reported in our paper:
K.P. Nguyen, A. H. Treacher and A. A. Montillo, “Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 7, pp. 8081-8093, 1 July 2023, doi: 10.1109/TPAMI.2023.3234291
