558 citations · 1.1k across the 22 of their papers we have counts for
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cond-mat.dis-nn2018★ 558 cited
Learning data driven discretizations for partial differential equations
Yohai Bar-Sinai, Stephan Hoyer, Jason Hickey +1
The numerical solution of partial differential equations (PDEs) is challenging because of the need to resolve spatiotemporal features over wide length and timescales. Often, it is…
cond-mat.soft2018★ 73 cited
Machine Learning in a data-limited regime: Augmenting experiments with synthetic data uncovers order in crumpled sheets
Jordan Hoffmann, Yohai Bar-Sinai, Lisa Lee +4
Machine learning has gained widespread attention as a powerful tool to identify structure in complex, high-dimensional data. However, these techniques are ostensibly inapplicable f…