Training Spiking Neural Networks Using Combined Learning Approaches... Conference Paper December, 2020
Deep Reinforcement Learning for Residential HVAC Control with Consideration of Human Occupancy... Conference Paper December, 2020
Performance Improvements on SNS and HFIR Instrument Data Reduction Workflows Using Mantid... Conference Paper December, 2020
Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach... Conference Paper December, 2020
Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Ur... Conference Paper December, 2020
Toward Quantifying Vulnerabilities in Critical Infrastructure Systems Conference Paper December, 2020
Scalable Deep-Learning-Accelerated Topology Optimization for Additively Manufactured Materials... Conference Paper December, 2020
A Nonlocal-Gradient Descent Method for Inverse Design in Nanophotonics... Conference Paper December, 2020
A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit Models... Conference Paper December, 2020