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20192023
most citedBiologically-informed neural networks guide mechanistic modeling from sparse experimental data

176 citations · 236 across the 4 of their papers we have counts for

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math.DS2019★ 59 cited

Learning partial differential equations for biological transport models from noisy spatiotemporal data

John Lagergren, John T. Nardini, G. Michael Lavigne +2

We investigate methods for learning partial differential equation (PDE) models from spatiotemporal data under biologically realistic levels and forms of noise. Recent progress in l…