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, including variational auto-encoders, generative adversarial networks (GANs) and more recently probabilistic diffusion denoising models. On the other hand the CRIStAL laboratory has a strong expertise in
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, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
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., 235(1), 468-487. [3] Gillet et al. (2024). Waves in Earth's core and geomagnetic field forecast. Phys. Earth Planet. Int., 357, 107284. [4] Li et al. (2024). Dynamic mode decomposition of the core
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