Robert Patton Group Leader - Learning Systems Contact PATTONRM@ORNL.GOV All Publications Fine-Grained Exploitation of Mixed Precision for Faster CNN Training Island model for parallel evolutionary optimization of spiking neuromorphic computing Reinforcement Learning-based Traffic Control to Optimize Energy Usage and Throughput (CRADA report) Efficiently embedding QUBO problems on adiabatic quantum computers A Classical-Quantum Hybrid Approach for Unsupervised Probabilistic Machine Learning 167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation Reducing model bias in a deep learning classifier using domain adversarial neural networks in the MINER v A experiment Exploring flexible communications for streamlining DNN ensemble training pipelines Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers DeepPDF: A Deep Learning Approach to Extracting Text from PDFs Text and Graph Based Approach for Analyzing Patterns of Research Collaboration: An Analysis of the TrueImpactDataset... Analyzing Citation-Distance Networks for Evaluating Publication Impact Adiabatic Quantum Computation Applied to Deep Learning Networks Neuromorphic computing for temporal scientific data classification Data mining for better material synthesis: The case of pulsed laser deposition of complex oxides Research Collaboration Analysis Using Text and Graph Features Do citations and readership identify seminal publications? Evolving Deep Networks Using HPC Optimizing Convolutional Neural Networks for Cloud Detection Audience Based View of Publication Impact Vertex reconstruction of neutrino interactions using deep learning Citations and Readership are Poor Indicators of Research Excellence A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers Pagination First page « First Previous page ‹â¶Ä¹ Page 1 Current page 2 Page 3 … 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 User Facilities
Research Highlight ORNL scientists innovate evaluation metrics to drive autonomous vehicle development.
Research Highlight ORNL researchers demonstrate neuromorphic computing capabilities via scaled autonomous racing.
