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20182022
most citedTensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

548 citations · 1.2k across the 8 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cond-mat.str-el2020★ 11 cited

Scalable variational Monte Carlo with graph neural ansatz

Li Yang, Wenjun Hu, Li Li

Deep neural networks have been shown as a potentially powerful ansatz in variational Monte Carlo for solving quantum many-body problems. We propose two improvements in this directi…

cs.LG2020★ 1 cited

Scaling Symbolic Methods using Gradients for Neural Model Explanation

Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li +2

Symbolic techniques based on Satisfiability Modulo Theory (SMT) solvers have been proposed for analyzing and verifying neural network properties, but their usage has been fairly li…