Effects of Soft Drinks on Resting State EEG and Brain-Computer Interface Performance. - Jianjun Meng; John Mundahl; Taylor D. Streitz; Kaitlin Maile; Nicholas S. Gulachek; Jeffrey He; Bin He 002 (IEEE Access, 2017)

Implementing evolutionary optimization to model neural functional connectivity. - Kaitlin Maile; Manish Saggar; Risto Miikkulainen (GECCO (Companion), 2019)

On Constrained Optimization in Differentiable Neural Architecture Search. - Kaitlin Maile; Erwan Lecarpentier; Hervé Luga; Dennis G. Wilson (CoRR, 2021)

When, where, and how to add new neurons to ANNs. - Kaitlin Maile; Emmanuel Rachelson; Hervé Luga; Dennis George Wilson (AutoML, 2022)

Architectural Optimization over Subgroups for Equivariant Neural Networks. - Kaitlin Maile; Dennis G. Wilson; Patrick Forré (CoRR, 2022)

Structural Learning in Artificial Neural Networks: A Neural Operator Perspective. - Kaitlin Maile; Hervé Luga; Dennis George Wilson (Trans. Mach. Learn. Res., 2022)

Equivariance-aware Architectural Optimization of Neural Networks. - Kaitlin Maile; Dennis George Wilson; Patrick Forré (ICLR, 2023)

Composable Function-preserving Expansions for Transformer Architectures. - Andrea Gesmundo; Kaitlin Maile (CoRR, 2023)

Dynamic Architectural Optimization of Artificial Neural Networks. (Optimisation architecturale des réseaux neuronaux artificiels). - Kaitlin Maile (2023)

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training. - Johannes von Oswald; Nino Scherrer; Seijin Kobayashi; Luca Versari; Songlin Yang; Maximilian Schlegel; Kaitlin Maile; Yanick Schimpf; Oliver Sieberling; Alexander Meulemans; Rif A. Saurous; Guillaume Lajoie; et al. (CoRR, 2025)