29 citations · 31 across the 3 of their papers we have counts for
4 papers
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks
Hyungeun Lee, Kijung Yoon
Graph neural networks (GNNs) have become compelling models designed to perform learning and inference on graph-structured data. However, little work has been done to understand the…
Two-argument activation functions learn soft XOR operations like cortical neurons
Kijung Yoon, Emin Orhan, Juhyun Kim +1
Neurons in the brain are complex machines with distinct functional compartments that interact nonlinearly. In contrast, neurons in artificial neural networks abstract away this com…
Inference in Probabilistic Graphical Models by Graph Neural Networks
KiJung Yoon, Renjie Liao, Yuwen Xiong +5
A fundamental computation for statistical inference and accurate decision-making is to compute the marginal probabilities or most probable states of task-relevant variables. Probab…
Reviving and Improving Recurrent Back-Propagation
Renjie Liao, Yuwen Xiong, Ethan Fetaya +5
In this paper, we revisit the recurrent back-propagation (RBP) algorithm, discuss the conditions under which it applies as well as how to satisfy them in deep neural networks. We s…