Robert M Patton Group Leader - Learning Systems Contact pattonrm@ornl.gov | 865.576.3832 All Publications SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing Neuromorphic Computing for Scientific Applications Training reinforcement learning models via an adversarial evolutionary algorithm... Genetic programming for understanding cognitive biases that generate polarization in social networks... Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis... Neuromorphic Computing for Autonomous Racing... Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm... Computational Complexity of Neuromorphic Algorithms... Quantitative Evaluation of Autonomous Driving in CARLA... Overview of the Second Workshop on Scholarly Document Processing... Scalable Knowledge Graph Analytics at 136 Petaflop/s... Automated Design of Neuromorphic Networks for Scientific Applications at the Edge... Bayesian Multi-objective Hyperparameter Optimization for Accurate, Fast, and Efficient Neural Network Accelerator Design... Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems... Evolutionary Optimization for Neuromorphic Systems... Caspian: A Neuromorphic Development Platform... FLEET: Flexible Efficient Ensemble Training for Heterogeneous Deep Neural Networks... Visualization System for Evolutionary Neural Networks for Deep Learning... Exascale Deep Learning to Accelerate Cancer Research Evolving Energy Efficient Convolutional Neural Networks... Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems... Fine-Grained Exploitation of Mixed Precision for Faster CNN Training... 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)... Pagination Current page 1 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
