Kaitlin Maile, Dennis George Wilson, Patrick Forré, "Equivariance-aware Architectural Optimization of Neural Networks." International Conference on Learning Representations, 2023.
- Ph.D. in Computer Science, University of Toulouse, 2023
- M.S. in Computer Science, University of Texas at Austin, 2020
- B.S. in Biomedical Engineering (Summa Cum Laude), University of Minnesota - Twin Cities, 2018
- Summer through Winter 2023: Student Researcher
- Summer 2020: Research Intern
- Summer 2019: PhD Software Development Intern
- Summer 2018: Software Engineer
- Swoop Search
Kaitlin Maile, Hervé Luga, Dennis G. Wilson, "Structural Learning in Artificial Neural Networks: A Neural Operator Perspective ." Transactions on Machine Learning Research, 2022.
Kaitlin Maile, Emmanuel Rachelson, Hervé Luga, Dennis G. Wilson, "When, where, and how to add new neurons to ANNs." International Conference on Automated Machine Learning, PMLR, 2022.
Kaitlin Maile, Erwan Lecarpentier, Hervé Luga, Dennis Wilson, "DARTS-PRIME: Regularization and Scheduling Improve Constrained Optimization in Differentiable NAS." arXiv preprint arXiv:2106.11655, 2021.
Kaitlin Maile, Risto Miikkulainen, Manish Saggar, "Evolutionary Parameter Optimization for Resting-state Functional Connectivity Model." Organization for Human Brain Mapping, 2020.
Kaitlin Maile, Risto Miikkulainen, Manish Saggar, "Implementing Evolutionary Optimization to Model Neural Functional Connectivity." Society for Neuroscience, 2019.
Kaitlin Maile, Manish Saggar, Risto Miikkulainen, "Implementing Evolutionary Optimization to Model Neural Functional Connectivity." Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019.
Jianjun Meng, John Mundahl, Taylor Streitz, Kaitlin Maile, Nicholas Gulachek, Jeffrey He, Bin He, "Effects of Soft Drinks on Resting State EEG and Brain-Computer Interface Performance." IEEE Access, 2017.