Publications

Please refer to Google Scholar for the most up-to-date list of my publications.

2026

  1. Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation
    George Whittle, Juliusz Ziomek, Jacob Rawling, and Maike A. Osborne
    In The Forty-third International Conference on Machine Learning (spotlight), 2026
  2. Bayesian Fourier Features for Reduced Rank Gaussian Processes
    Cristian A. Galvis-Florez, George Whittle, Maike A. Osborne, and Simo Särkkä
    In The 29th International Conference on Artificial Intelligence and Statistics, 2026
  3. Recurrent Structural Policy Gradient for Partially Observable Mean Field Games
    Clarisse Wibault, Johannes Forkel, Sebastian Towers, Tiphaine Wibault, Juan Duque, George Whittle, Andreas Schaab, Yucheng Yang, Chiyuan Wang, Maike A. Osborne, Benjamin Moll, and Jakob Foerster
    In The Forty-third International Conference on Machine Learning (spotlight), 2026
  4. Canonical Regularisation of Wide Feature-Learning Neural Networks
    George Whittle, Pranav Vaidhyanathan, Juliusz Ziomek, Natalia Ares, and Maike A. Osborne
    2026

2025

  1. Just One Layer Norm Guarantees Stable Extrapolation
    Juliusz Ziomek*, George Whittle*, and Maike A. Osborne
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025