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publications
Effects of Soft Drinks on Resting State EEG and Brain-Computer Interface Performance
Journal paper published in IEEE Access, 2017
Recommended citation: 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.
Implementing Evolutionary Optimization to Model Neural Functional Connectivity
Workshop paper published in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Recommended citation: Kaitlin Maile, Manish Saggar, Risto Miikkulainen, "Implementing Evolutionary Optimization to Model Neural Functional Connectivity." Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019.
Implementing Evolutionary Optimization to Model Neural Functional Connectivity
Poster presented at Society for Neuroscience, 2019
Recommended citation: Kaitlin Maile, Risto Miikkulainen, Manish Saggar, "Implementing Evolutionary Optimization to Model Neural Functional Connectivity." Society for Neuroscience, 2019.
Evolutionary Parameter Optimization for Resting-state Functional Connectivity Model
Poster presented at Organization for Human Brain Mapping, 2020
Recommended citation: Kaitlin Maile, Risto Miikkulainen, Manish Saggar, "Evolutionary Parameter Optimization for Resting-state Functional Connectivity Model." Organization for Human Brain Mapping, 2020.
DARTS-PRIME: Regularization and Scheduling Improve Constrained Optimization in Differentiable NAS
Preprint archived at arXiv preprint arXiv:2106.11655, 2021
Recommended citation: 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.
When, where, and how to add new neurons to ANNs
Conference paper at AutoML, 2022
Recommended citation: 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.
Structural Learning in Artificial Neural Networks: A Neural Operator Perspective
Journal paper published in TMLR, 2022
Recommended citation: Kaitlin Maile, Hervé Luga, Dennis G. Wilson, "Structural Learning in Artificial Neural Networks: A Neural Operator Perspective ." Transactions on Machine Learning Research, 2022.
Equivariance-aware Architectural Optimization of Neural Networks
Conference paper at ICLR, 2023
Recommended citation: Kaitlin Maile, Dennis George Wilson, Patrick Forré, "Equivariance-aware Architectural Optimization of Neural Networks." International Conference on Learning Representations, 2023.
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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