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cs.LG2021
Deep Generative Models for Vehicle Speed Trajectories
Farnaz Behnia, Dominik Karbowski, Vadim Sokolov
Generating realistic vehicle speed trajectories is a crucial component in evaluating vehicle fuel economy and in predictive control of self-driving cars. Traditional generative mod…
cs.LG2019
Solving Large-Scale 0-1 Knapsack Problems and its Application to Point Cloud Resampling
Duanshun Li, Jing Liu, Noseong Park +7
0-1 knapsack is of fundamental importance in computer science, business, operations research, etc. In this paper, we present a deep learning technique-based method to solve large-s…
cs.LG2018
Deep Learning: Computational Aspects
Nicholas Polson, Vadim Sokolov
In this article we review computational aspects of Deep Learning (DL). Deep learning uses network architectures consisting of hierarchical layers of latent variables to construct p…