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20232025
most citedA Robust SINDy Approach by Combining Neural Networks and an Integral Form

4 citations · 13 across the 6 of their papers we have counts for

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Showing 2024 · math.DSShow all

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math.DS2024★ 2 cited

GS-PINN: Greedy Sampling for Parameter Estimation in Partial Differential Equations

Ali Forootani, Harshit Kapadia, Sridhar Chellappa +2

Partial differential equation parameter estimation is a mathematical and computational process used to estimate the unknown parameters in a partial differential equation model from…

math.DS2024★ 4 cited

GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations

Ali Forootani, Harshit Kapadia, Sridhar Chellappa +2

The sparse identification of nonlinear dynamical systems (SINDy) is a data-driven technique employed for uncovering and representing the fundamental dynamics of intricate systems b…