Machine learning for inverting partial differential equations

May 15, 2017 — April 17, 2025

calculus
dynamical systems
geometry
Hilbert space
how do science
machine learning
neural nets
PDEs
physics
regression
sciml
SDEs
signal processing
statistics
statmech
stochastic processes
surrogate
time series
uncertainty

Suspiciously similar content

Figure 1

Tomography through PDEs via machine learning

See Inverse problems in PDEs for the classical setting. What extra do we get from ML? I have nothing to say right now; but check the references.

1 References

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