Machine Learning

Simulation-based Real-time Production Control

In-Memory Hardware-Software Co-design for Image Processing

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

Gaussian Process Modeling for Heterogeneous Functions

Cyber Risk Loss Distribution Model of Client-Server Networks

Predicting Accuracy of a Machine Learning Model

Improved Mapping of Computational Loops on Reconfigurable Architectures

Deep Reinforcement-Learning-Based Text Anonymization for Attribute Privacy

Improving Shape Awareness and Interpretability in Deep Networks

Polynomial Implicit Neural Representations for Large Diverse Datasets