Intervention-Assisted Policy Gradient Methods for Online Stochastic Queuing Network Optimization: Technical Reportby Jerrod Wigmore, Brooke…
Generalizable Temperature Nowcasting with Physics-Constrained RNNs for Predictive Maintenance of Wind Turbine Componentsby Johannes Exenberger,…
Optimizing Convolutional Neural Networks for Identifying Invasive Pollinator Apis Mellifera and Finding a Ligand drug…
Accurately Classifying Out-Of-Distribution Data in Facial Recognitionby Gianluca Barone, Aashrit Cunchala, Rudy NunezFirst submitted to…
Approximate UMAP allows for high-rate online visualization of high-dimensional data streamsby Peter Wassenaar, Pierre Guetschel,…
Predictive Analytics of Varieties of Potatoesby Fabiana Ferracina, Bala Krishnamoorthy, Mahantesh Halappanavar, Shengwei Hu, Vidyasagar…
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devicesby Hasib-Al Rashid,…
Exploring Lightweight Federated Learning for Distributed Load Forecastingby Abhishek Duttagupta, Jin Zhao, Shanker ShreejithFirst submitted…
COMPILED: Deep Metric Learning for Defect Classification of Threaded Pipe Connections using Multichannel Partially Observed…
Learning From Simplicial Data Based on Random Walks and 1D Convolutionsby Florian Frantzen, Michael T.…