16 citations · 29 across the 6 of their papers we have counts for
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cs.LG2024
Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction
Zhao Xu, Haiyang Yu, Montgomery Bohde +1
Recent advancements in equivariant deep models have shown promise in accurately predicting atomic potentials and force fields in molecular dynamics simulations. Using spherical har…
cs.LG2024
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods
Montgomery Bohde, Meng Liu, Alexandra Saxton +1
Neural algorithmic reasoning is an emerging research direction that endows neural networks with the ability to mimic algorithmic executions step-by-step. A common paradigm in exist…