research
∙
06/30/2023
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions
Generating learning-friendly representations for points in space is a fu...
share
research
∙
12/16/2022
Machine Learning and Polymer Self-Consistent Field Theory in Two Spatial Dimensions
A computational framework that leverages data from self-consistent field...
research
∙
09/29/2022
Towards General-Purpose Representation Learning of Polygonal Geometries
Neural network representation learning for spatial data is a common need...
research
∙
08/18/2022
Pandemic Control, Game Theory and Machine Learning
Game theory has been an effective tool in the control of disease spread ...
research
∙
01/25/2022
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions
Generating learning-friendly representations for points in a 2D space is...
research
∙
12/12/2020
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm
Game theory has been an effective tool in the control of disease spread ...
research
∙
06/29/2019
