Kaitlin Maile - RankMe

17 papers A* 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evolution With Purpose: Hierarchy-Informed Optimization of Whole-Brain Models. CoRR Hormoz Shahrzad, Niharika Gajawelli, Kaitlin Maile, Manish Saggar, Risto Miikkulainen
2026	J	`jnl`	From Growing to Looping: A Unified View of Iterative Computation in LLMs. CoRR Ferdinand Kapl, Emmanouil Angelis, Kaitlin Maile, Johannes von Oswald, Stefan Bauer
2026	J	`jnl`	From Words to Amino Acids: Does the Curse of Depth Persist? CoRR Aleena Siji, Amir Mohammad Karimi-Mamaghan, Ferdinand Kapl, Tobias Höppe, Emmanouil Angelis, Andrea Dittadi, Maurice Brenner, Michael Heinzinger, Karl Henrik Johansson, Kaitlin Maile, Johannes von Oswald, Stefan Bauer
2025	J	`jnl`	Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network. CoRR Theresa Eimer, Lennart Schäpermeier, André Biedenkapp, Alexander Tornede, Lars Kotthoff, Pieter Leyman, Matthias Feurer, Katharina Eggensperger, Kaitlin Maile, Tanja Tornede, Anna Kozak, Ke Xue, Marcel Wever, Mitra Baratchi, Damir Pulatov, Heike Trautmann, Haniye Kashgarani, Marius Lindauer
2025	J	`jnl`	Do Depth-Grown Models Overcome the Curse of Depth? An In-Depth Analysis. CoRR Ferdinand Kapl, Emmanouil Angelis, Tobias Höppe, Kaitlin Maile, Johannes von Oswald, Nino Scherrer, Stefan Bauer
2025	J	`jnl`	Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning. CoRR Seijin Kobayashi, Yanick Schimpf, Maximilian Schlegel, Angelika Steger, Maciej Wolczyk, Johannes von Oswald, Nino Scherrer, Kaitlin Maile, Guillaume Lajoie, Blake A. Richards, Rif A. Saurous, James Manyika, Blaise Agüera y Arcas, Alexander Meulemans, João Sacramento
2025	J	`jnl`	MesaNet: Sequence Modeling by Locally Optimal Test-Time Training. CoRR Johannes von Oswald, Nino Scherrer, Seijin Kobayashi, Luca Versari, Songlin Yang, Maximilian Schlegel, Kaitlin Maile, Yanick Schimpf, Oliver Sieberling, Alexander Meulemans, Rif A. Saurous, Guillaume Lajoie, Charlotte Frenkel, Razvan Pascanu, Blaise Agüera y Arcas, João Sacramento
2023	J	`jnl`	Composable Function-preserving Expansions for Transformer Architectures. CoRR Andrea Gesmundo, Kaitlin Maile
2023	—	`—`	Dynamic Architectural Optimization of Artificial Neural Networks. (Optimisation architecturale des réseaux neuronaux artificiels). Kaitlin Maile
2023	A*	`conf`	Equivariance-aware Architectural Optimization of Neural Networks. ICLR Kaitlin Maile, Dennis George Wilson, Patrick Forré
2022	J	`jnl`	Architectural Optimization over Subgroups for Equivariant Neural Networks. CoRR Kaitlin Maile, Dennis G. Wilson, Patrick Forré
2022	J	`jnl`	Structural Learning in Artificial Neural Networks: A Neural Operator Perspective. Trans. Mach. Learn. Res. Kaitlin Maile, Hervé Luga, Dennis George Wilson
2022	—	`conf`	When, where, and how to add new neurons to ANNs. AutoML Kaitlin Maile, Emmanuel Rachelson, Hervé Luga, Dennis George Wilson
2022	J	`jnl`	When, where, and how to add new neurons to ANNs. CoRR Kaitlin Maile, Emmanuel Rachelson, Hervé Luga, Dennis G. Wilson
2021	J	`jnl`	On Constrained Optimization in Differentiable Neural Architecture Search. CoRR Kaitlin Maile, Erwan Lecarpentier, Hervé Luga, Dennis G. Wilson
2019	—	`conf`	Implementing evolutionary optimization to model neural functional connectivity. GECCO (Companion) Kaitlin Maile, Manish Saggar, Risto Miikkulainen
2017	J	`jnl`	Effects of Soft Drinks on Resting State EEG and Brain-Computer Interface Performance. IEEE Access Jianjun Meng, John Mundahl, Taylor D. Streitz, Kaitlin Maile, Nicholas S. Gulachek, Jeffrey He, Bin He