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ADCME is a novel computational framework to solve inverse problems involving physical simulations and deep neural networks (DNNs).
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Anna Kelbert, Naser Meqbel, Gary D Egbert, and Kush Tandon · 2014
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Juan Carlos De los Reyes · 2015
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A general approach to seismic inversion with automatic differentiation
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Automatic differentiation in machine learning: a survey
Atılım Günes Baydin, Barak A Pearlmutter, Alexey Andreyevich Radul, and Jeffrey Mark Siskind · 2017
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https://fenicsproject.org/docs/dolfin/1.4.0/python/demo/documented/hyperelasticity/python/documentation.html
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