Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology
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DOI: 10.48550/arxiv.2408.09818
Abstract: Scientific Machine Learning (ML) is gaining momentum as a cost-effective alternative to physics-based numerical solvers in many engineering applications. In fact, scientific ML is currently being used to build accurate and efficient surrogate models starting… read more here.
Keywords: numerical simulations; liquid fourier; dynamics networks; cardiology ... See more keywords