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20152026
most citedForecasting and predicting stochastic agent-based model data with biologically-informed neural networks

6 citations · 8 across the 7 of their papers we have counts for

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Showing 2019 · math.DSShow all

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math.DS2019

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…