10 citations · 10 across the 5 of their papers we have counts for
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cs.CV2019
A Near-Optimal Gradient Flow for Learning Neural Energy-Based Models
Yang Wu, Pengxu Wei, Liang Lin
In this paper, we propose a novel numerical scheme to optimize the gradient flows for learning energy-based models (EBMs). From a perspective of physical simulation, we redefine th…
cs.LG2019
FRAME Revisited: An Interpretation View Based on Particle Evolution
Xu Cai, Yang Wu, Guanbin Li +2
FRAME (Filters, Random fields, And Maximum Entropy) is an energy-based descriptive model that synthesizes visual realism by capturing mutual patterns from structural input signals.…