Exploiting the equivalence between quantum neural networks and perceptrons. - Chris Mingard; Jessica Pointing; Charles London; Yoonsoo Nam; Ard A. Louis (CoRR, 2024)

Peptide binding classification on quantum computers. - Charles London; Douglas Brown; Wenduan Xu; Sezen Vatansever; Christopher J. Langmead; Dimitri Kartsaklis; Stephen Clark; Konstantinos Meichanetzidis (Quantum Mach. Intell., 2024)

Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking). - Yoonsoo Nam; Seok Hyeong Lee; Clémentine Dominé; Yea Chan Park; Charles London; Wonyl Choi; Niclas Alexander Göring; Seungjai Lee (CoRR, 2025)

REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites. - Divyansh Garg; Shaun VanWeelden; Diego Caples; Andis Draguns; Nikil Ravi; Pranav Putta; Naman Garg; Tomas Abraham; Michael Lara; Federico Lopez; James Liu; Atharva Gundawar; et al. (CoRR, 2025)

Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers. - Charles London; Varun Kanade (CoRR, 2025)

Characterising the Inductive Biases of Neural Networks on Boolean Data. - Chris Mingard; Lukas Seier; Niclas Alexander Göring; Andrei-Vlad Badelita; Charles London; Ard A. Louis (CoRR, 2025)

Feature learning is decoupled from generalization in high capacity neural networks. - Niclas Alexander Göring; Charles London; Abdurrahman Hadi Erturk; Chris Mingard; Yoonsoo Nam; Ard A. Louis (CoRR, 2025)