Publications

  • Weight-Space Linear Recurrent Neural Networks
    Nzoyem, Keshtmand, Tsayem, Barton & Deakin
    ArXiv (2025)
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  • Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation
    Nzoyem, Barton & Deakin
    Fourth Conference on Lifelong Learning Agents (CoLLAs) (2025)
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  • MixER: Better Mixture of Experts Routing for Hierarchical Meta-Learning
    Nzoyem, Stevens, Sahota, Barton & Deakin
    First Workshop on Scalable Optimization for Efficient and Adaptive Foundation Models @ ICLR (2025)
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  • Neural Context Flows for Meta-Learning of Dynamical Systems
    Nzoyem, Barton & Deakin
    The Thirteenth International Conference on Learning Representations (ICLR) (2025)
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  • A Comparison of Mesh-Free Differentiable Programming and Data-Driven Strategies for Optimal Control under PDE Constraints
    Nzoyem, Barton & Deakin
    Proceedings of the SC'23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (2023)
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  • Accelerating Algebraic Multigrid Using Machine Learning
    Nzoyem, Louw, McIntosh-Smith & Deakin
    HPC Reaserach Group - University of Bristol (PhD Summer Project) (2022)
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  • Fracturation de floes de glace par percussion dans un modèle granulaire
    Nzoyem, Labbé & Prud'homme
    Laboratoire Jacques-Louis Lions - Sorbonne Université (MSc Thesis) (2021)
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  • Simulation 2D de l’équation du transfert radiatif et reconstruction de la densité par un réseau de neurones
    Nzoyem, Franck, Navoret, Vigon & Prud'homme
    Institut de Recherche Mathématique Avancée (MSc Thesis) (2020)
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