research
∙
01/20/2023
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19
Human mobility estimation is crucial during the COVID-19 pandemic due to...
share
research
∙
12/01/2022
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models
This paper revisits building machine learning algorithms that involve in...
research
∙
09/27/2022
EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data
Speed-control forecasting, a challenging problem in driver behavior anal...
research
∙
03/07/2022
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data
Traffic accident forecasting is a significant problem for transportation...
research
∙
10/02/2020
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning
Imitation learning (IL) aims to learn a policy from expert demonstration...
research
∙
08/05/2020
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation
Existing topic modeling and text segmentation methodologies generally re...
research
∙
07/11/2019
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle
Many real-world human behaviors can be characterized as a sequential dec...
research
∙
05/28/2019
