Introduction · II. Methods · III. Results · IV. Discussion

Feb 23, 2022 · Finally, ARMED improves accuracy on data from clusters seen during training (up to 28% vs. conventional models) and generalization to unseen ...

Jul 1, 2023 · We propose a general-purpose framework for Adversarially-Regularized Mixed Effects Deep learning (ARMED) models through non-intrusive additions ...

Adversarially-regularized mixed effects deep learning (ARMED) models for improved interpretability, performance, and generalization on clustered data.

Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data.

Mar 28, 2022 · By incorporating powerful mixed effects modeling into deep learning, ARMED increases interpretability, performance, and generalization on ...

By incorporating powerful mixed effects modeling into deep learning, ARMED increases performance, interpretability, and generalization on ...

Adversarially-regularized mixed effects deep learning (ARMED)#. A framework for building mixed effects neural networks for clustered and non-iid data, ...

Adversarially-regularized mixed effects deep learning (ARMED) models for improved interpretability, performance, and generalization on clustered data. IEEE ...

Missing: performance, generalization clustered