Robert M Patton Group Leader - Learning Systems Contact pattonrm@ornl.gov | 865.576.3832 All Publications Island model for parallel evolutionary optimization of spiking neuromorphic computing... 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... Adiabatic Quantum Computation Applied to Deep Learning Networks... 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... 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?... Optimizing Convolutional Neural Networks for Cloud Detection... Evolving Deep Networks Using HPC... 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 A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers... Measuring Scientific Impact Beyond Citation Counts... Pagination First page « First Previous page ‹‹ Page 1 Current page 2 Page 3 … Next page ›› Last page Last » Key Links ORCID Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Data and AI Systems Section Learning Systems Group User Facilities Oak Ridge Leadership Computing Facility