Neural Computing

Fracture Pattern Prediction with Random Microstructure using Deep Neural Network

Time-Synchronized Topology and State Estimation in Real-Time Unobservable Distribution Systems

Implementing Improved Diversity Using Adversarially Learned Transformations for Domain Generalization

PathSeeker: A Fast-Mapping Algorithm for CGRAs

Improving Shape Awareness and Interpretability in Deep Networks

Improved Mapping of Computational Loops on Reconfigurable Architectures

Polynomial Implicit Neural Representations for Large Diverse Datasets