Maile, Kaitlin

1. Composable Function-preserving Expansions for Transformer Architectures
   2023/08/11 by Andrea Gesmundo, Andréa Gesmundo, Kaitlin Maile +2 · 1 voice · 2 citations
   Computer Science · Engineering · #Advanced Neural Network Applications #Architecture #Artificial intelligence #Artificial neural network #Computer science #Deep neural networks #Domain Adaptation and Few-Shot Learning #Engineering #Initialization #Neural Networks and Applications #Programming language #Scratch #Transformation (genetics) #Transformer #cs.LG
2. Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning
   2025/12/23 by Seijin Kobayashi, Kobayashi, Seijin, Yanick Schimpf +29 · 5 voices · 1 citation
   Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Neural Networks and Reservoir Computing
3. MesaNet: Sequence Modeling by Locally Optimal Test-Time Training
   2025/06/05 by Johannes von Oswald, von Oswald, Johannes, Nino Scherrer +30 · 12 citations
   Computer Science · #Topic Modeling #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning
4. When, where, and how to add new neurons to ANNs
   2022/02/17 by Kaitlin Maile, Emmanuel Rachelson, Maile, Kaitlin +5 · 1 citation
   Computer Science · Mathematics · Neuroscience · #Cognitive and developmental aspects of mathematical skills #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neurogenesis and neuroplasticity mechanisms