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Books and Theses
- 2023
[b1]Kaitlin Maile:
Dynamic Architectural Optimization of Artificial Neural Networks. (Optimisation architecturale des réseaux neuronaux artificiels). Toulouse 1 University Capitole, France, 2023
Journal Articles
- 2022
- [j2]Kaitlin Maile, Hervé Luga, Dennis George Wilson:
Structural Learning in Artificial Neural Networks: A Neural Operator Perspective. Trans. Mach. Learn. Res. 2022 (2022) - 2017
- [j1]Jianjun Meng, John Mundahl, Taylor D. Streitz, Kaitlin Maile
, Nicholas S. Gulachek, Jeffrey He, Bin He:
Effects of Soft Drinks on Resting State EEG and Brain-Computer Interface Performance. IEEE Access 5: 18756-18764 (2017)
Conference and Workshop Papers
- 2023
- [c3]Kaitlin Maile, Dennis George Wilson, Patrick Forré:
Equivariance-aware Architectural Optimization of Neural Networks. ICLR 2023 - 2022
- [c2]Kaitlin Maile, Emmanuel Rachelson, Hervé Luga, Dennis George Wilson:
When, where, and how to add new neurons to ANNs. AutoML 2022: 18/1-12 - 2019
- [c1]Kaitlin Maile, Manish Saggar, Risto Miikkulainen:
Implementing evolutionary optimization to model neural functional connectivity. GECCO (Companion) 2019: 1731-1733
Informal and Other Publications
- 2023
- [i4]Andrea Gesmundo, Kaitlin Maile:
Composable Function-preserving Expansions for Transformer Architectures. CoRR abs/2308.06103 (2023) - 2022
- [i3]Kaitlin Maile, Emmanuel Rachelson, Hervé Luga, Dennis G. Wilson:
When, where, and how to add new neurons to ANNs. CoRR abs/2202.08539 (2022) - [i2]Kaitlin Maile, Dennis G. Wilson, Patrick Forré:
Architectural Optimization over Subgroups for Equivariant Neural Networks. CoRR abs/2210.05484 (2022) - 2021
- [i1]Kaitlin Maile, Erwan Lecarpentier, Hervé Luga, Dennis G. Wilson:
On Constrained Optimization in Differentiable Neural Architecture Search. CoRR abs/2106.11655 (2021)
Coauthor Index
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