Deep Learning Gaussian Processes (DL-GP) are proposed as a methodology f...
We consider the problem of calibration and uncertainty analysis for
acti...
Simulators play a major role in analyzing multi-modal transportation
net...
We explore the use of deep learning and deep reinforcement learning for
...