A Comparison of Mesh-Free Differentiable Programming and Data-Driven Strategies for Optimal Control under PDE Constraints. - Roussel Desmond Nzoyem Ngueguin; David A. W. Barton; Tom Deakin (SC Workshops, 2023)

Neural Context Flows for Learning Generalizable Dynamical Systems. - Roussel Desmond Nzoyem; David A. W. Barton; Tom Deakin (CoRR, 2024)

Extending Contextual Self-Modulation: Meta-Learning Across Modalities, Task Dimensionalities, and Data Regimes. - Roussel Desmond Nzoyem; David A. W. Barton; Tom Deakin (CoRR, 2024)

Neural Context Flows for Meta-Learning of Dynamical Systems. - Roussel Desmond Nzoyem; David A. W. Barton; Tom Deakin (ICLR, 2025)

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts. - Roussel Desmond Nzoyem; David A. W. Barton; Tom Deakin (CoRR, 2025)

Weight-Space Linear Recurrent Neural Networks. - Roussel Desmond Nzoyem; Nawid Keshtmand; Idriss Tsayem; David A. W. Barton; Tom Deakin (CoRR, 2025)