Steven Young Research Scientist Contact YOUNGSR@ORNL.GOV All Publications Evolving Energy Efficient Convolutional Neural Networks Exascale Deep Learning to Accelerate Cancer Research Evolving Deep Networks Using HPC Optimizing Deep Learning Hyper-Parameters Through an Evolutionary Algorithm... Lantern: An Interactive Adversarial AI Workbench Efficacy of using a dynamic length representation vs. a fixed-length for neuroarchitecture search Reinforcement learning applied to dilute combustion control for increased fuel efficiency... Privacy Amplification for Episodic Training Methods ICDARTS: Improving the Stability of Cyclic DARTS... Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators Neuromorphic Computing for Scientific Applications Augmenting Graph Convolution with Distance Preserving Embedding for Improved Learning... Vertex finding in neutrino-nucleus interaction: a model architecture comparison Real-Time Evolution and Deployment of Neuromorphic Computing at The Edge Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach... Dilute Combustion Control Using Spiking Neural Networks Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment Ensembles of Networks Produced from Neural Architecture Search Accelerating Scientific Computing in the Post-Moore’s Era Classifying and analyzing small-angle scattering data using weighted k nearest neighbors machine learning techniques Inferring Convolutional Neural Networks' Accuracies from Their Architectural Characterizations Visualization System for Evolutionary Neural Networks for Deep Learning Fine-Grained Exploitation of Mixed Precision for Faster CNN Training Pagination Current page 1 Page 2 Next page ›â¶Äº Last page Last » Key Links Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Data and AI Systems Section Learning Systems Group
