Chris Budd

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2024

Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
Appella, S., Arridge, S., Budd, C., Deveney, T. & Kreusser, L. M., 2 Jul 2024.
Research output: Working paper / Preprint › Preprint

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Scale-aware parameterization of cloud fraction and condensate for a global atmospheric model machine-learnt from coarse-grained kilometer-scale simulations
Morcrette, C., Cave, T., Reid, H., da Silva Rodrigues, J., Deveney, T., Kreusser, L. M., Van Weverberg, K. & Budd, C., 25 Aug 2024, ESS Open Archive, 51 p.
Research output: Working paper / Preprint › Preprint
2023
Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation
Deveney, T., Stanczuk, J., Kreusser, L. M., Budd, C. & Schönlieb, C.-B., 27 Nov 2023, arXiv.
Research output: Working paper / Preprint › Preprint

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Quantum simulation of highly-oscillatory many-body Hamiltonians for near-term devices
Chen, G., Foroozandeh, M., Budd, C. & Singh, P., 13 Dec 2023, (Submitted) arXiv.
Research output: Working paper / Preprint › Preprint

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28 Downloads (Pure)

Research output