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

Neural Computing

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

Improved Mapping of Computational Loops on Reconfigurable Architectures

Improving Shape Awareness and Interpretability in Deep Networks

Polynomial Implicit Neural Representations for Large Diverse Datasets

Implementing Improved Diversity Using Adversarially Learned Transformations for Domain Generalization

Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing

PathSeeker: A Fast-Mapping Algorithm for CGRAs

Systems and Algorithms for Few-Shot Node Classification on Graphs

Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference

Masked-Based Learning Method for Neural Network Multiple Task Adaption