67 citations · 109 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 67 cited
An Expert's Guide to Training Physics-informed Neural Networks
Sifan Wang, Shyam Sankaran, Hanwen Wang +1
Physics-informed neural networks (PINNs) have been popularized as a deep learning framework that can seamlessly synthesize observational data and partial differential equation (PDE…
hep-ex2017★ 42 cited
Search for heavy resonances that decay into a vector boson and a Higgs boson in hadronic final states at sqrt(s) = 13 TeV
CMS Collaboration
A search for heavy resonances with masses above 1 TeV, decaying to final states containing a vector boson and a Higgs boson, is presented. The search considers hadronic decays of t…