Thomas Potok Section Head - Data and AI Systems Section Contact 865.574.0834 | POTOKTE@ORNL.GOV All Publications 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... Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks Island model for parallel evolutionary optimization of spiking neuromorphic computing Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data 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 A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers Adiabatic Quantum Computation Applied to Deep Learning Networks Neuromorphic computing for temporal scientific data classification Evolving Deep Networks Using HPC Audience Based View of Publication Impact 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... A Bridge for Accelerating Materials by Design Extreme Scale Visual Analytics... Multi-year Content Analysis of User Facility Related Publications... Interactive Visual Analysis of High Throughput Text Streams Discovery & Refinement of Scientific Information via a Recommender System... 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 Mathematics in Computation Section
