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Found 3 papers, 0 papers with code
Physics-informed Machine Learning of Parameterized Fundamental Diagrams
For simulated data, we generalize this relationship by introducing contextual information at the learning stage, i. e. vehicle composition, driver behavior, curb zoning configuration, etc, and show how the speed-flow relationship changes as a function of these exogenous factors independent of roadway design.
BIG-bench Machine Learning
Physics-informed machine learning
Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs
The studies are carried out on simulated events in the MicroBooNE detector.
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent
In this paper, we present GossipGraD - a gossip communication protocol based Stochastic Gradient Descent (SGD) algorithm for scaling Deep Learning (DL) algorithms on large-scale systems.
