Maile, Kaitlin

5 publications

ICLR 2026 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, Guillaume Lajoie, Rif A. Saurous, Charlotte Frenkel, Razvan Pascanu, Blaise Aguera y Arcas, Joao Sacramento

ICLR 2023 Equivariance-Aware Architectural Optimization of Neural Networks Kaitlin Maile, Dennis George Wilson, Patrick Forré

TMLR 2022 Structural Learning in Artificial Neural Networks: A Neural Operator Perspective Kaitlin Maile, Luga Hervé, Dennis George Wilson

NeurIPSW 2022 Towards Architectural Optimization of Equivariant Neural Networks over Subgroups Kaitlin Maile, Dennis George Wilson, Patrick Forré

AutoML 2022 When, Where, and How to Add New Neurons to ANNs Kaitlin Maile, Emmanuel Rachelson, Hervé Luga, Dennis George Wilson