| Effects of Soft Drinks on Resting State EEG and Brain–Computer Interface Performance J Meng, JH Mundahl, TD Streitz, K Maile, NS Gulachek, J He, B He IEEE Access 5, 18756-18764, 2017 | 35 | 2017 |
| Equivariance-aware Architectural Optimization of Neural Networks K Maile, DG Wilson, P Forré International Conference on Learning Representations, 2023 | 8* | 2023 |
| When, Where, and How to Add New Neurons to ANNs K Maile, E Rachelson, H Luga, DG Wilson 1st International Conference on Automated Machine Learning, 2022 | 7 | 2022 |
| Structural Learning in Artificial Neural Networks: A Neural Operator Perspective K Maile, H Luga, DG Wilson Transactions on Machine Learning Research, 2022 | 5 | 2022 |
| Composable function-preserving expansions for transformer architectures A Gesmundo, K Maile arXiv preprint arXiv:2308.06103, 2023 | 3 | 2023 |
| DARTS-PRIME: Regularization and scheduling improve constrained optimization in differentiable NAS K Maile, E Lecarpentier, H Luga, DG Wilson arXiv preprint arXiv:2106.11655, 2021 | 2 | 2021 |
| Implementing Evolutionary Optimization to Model Neural Functional Connectivity K Maile, M Saggar, R Miikkulainen Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 2 | 2019 |
| Neural Growth and Pruning in Dynamic Learning Environments K Maile, L Hervé, DG Wilson AutoML Conference 2023 (Workshop), 2023 | 1 | 2023 |
| Dynamic architectural optimization of artificial neural networks K Maile | | 2023 |
| Evolutionary Parameter Optimization for Resting-state Functional Connectivity Models K Maile, R Miikkulainen, M Saggar | | |
