1 citations · 1 across the 4 of their papers we have counts for
4 papers
DNBP: Differentiable Nonparametric Belief Propagation
Anthony Opipari, Jana Pavlasek, Chao Chen +3
We present a differentiable approach to learn the probabilistic factors used for inference by a nonparametric belief propagation algorithm. Existing nonparametric belief propagatio…
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…
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…
An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection
Chao Chen, Xiao Lin, Gabriel Terejanu
Long Short-Term Memory networks trained with gradient descent and back-propagation have received great success in various applications. However, point estimation of the weights of…