Mark A Coletti Staff Scientist Contact colettima@ornl.gov | 865.241.5148 All Publications Avoiding excess computation in asynchronous evolutionary algorithms... Avoiding Excess Computation in Asynchronous Evolutionary Algorithms... Troubleshooting deep-learner training data problems using an evolutionary algorithm on Summit... Validating Safecast data by comparisons to a Department of Energy Fukushima Prefecture aerial survey... Neuromorphic Computing for Scientific Applications... Toward designing effective exascale scientific computing workflows: experiences and best practices... Training reinforcement learning models via an adversarial evolutionary algorithm... Proteome-scale Deployment of Protein Structure Prediction Workflows on the Summit Supercomputer... Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge C... Quantitative Evaluation of Autonomous Driving in CARLA... Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm... Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution... Library for Evolutionary Algorithms in Python (LEAP)... Global Partitioning Elevation Normalization Applied to Building Footprint Prediction... Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit... Performance analysis and optimization for scalable deployment of deep learning models for country‐scale settlement mapping ... Ramifications of Evolving Misbehaving Convolutional Neural Network Kernel and Batch Sizes... Curriculum Vitae ORCID My ResearchGate Profile Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Mathematics in Computation Section
