22 citations · 25 across the 4 of their papers we have counts for
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cs.LG2022★ 22 cited
Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations
Ramansh Sharma, Varun Shankar
We present a new technique for the accelerated training of physics-informed neural networks (PINNs): discretely-trained PINNs (DT-PINNs). The repeated computation of partial deriva…
cs.CL2022★ 3 cited
Beyond modeling: NLP Pipeline for efficient environmental policy analysis
Jordi Planas, Daniel Firebanks-Quevedo, Galina Naydenova +4
As we enter the UN Decade on Ecosystem Restoration, creating effective incentive structures for forest and landscape restoration has never been more critical. Policy analysis is ne…