1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.RO2021★ 1 cited
Differentiable Nonparametric Belief Propagation
Anthony Opipari, Chao Chen, Shoutian Wang +3
We present a differentiable approach to learn the probabilistic factors used for inference by a nonparametric belief propagation algorithm. Existing nonparametric belief propagatio…
cs.CV2019
DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators
Sheng Chen, Xu Wang, Chao Chen +3
Modern neural network modules which can significantly enhance the learning power usually add too much computational complexity to the original neural networks. In this paper, we pu…