Charles London

According to our database, Charles London authored at least 7 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, July, 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, May, 2025

Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers.

Charles London, Varun Kanade

CoRR, May, 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, Prannay Hebbar, Youngchul Joo, Jindong Gu, Charles London, Christian A. Schröder de Witt, Sumeet Motwani

CoRR, April, 2025

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, February, 2025

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., June, 2024

Exploiting the equivalence between quantum neural networks and perceptrons.

Chris Mingard, Jessica Pointing, Charles London, Yoonsoo Nam, Ard A. Louis

CoRR, 2024