Geospatial Data Science Speaker Series: Dr. Gengchen Mai
Spatial Representation Learning: What, How, and Why
Event Details
Date
Friday, May 2, 2025
Time
2-3 p.m.
Location
175 Science Hall
Description
Hosted by the GeoDS Lab@UW-Madison
Co-sponsored by the UW-Madison Data Science Institute
Guest Speaker: Dr. Gengchen Mai, Director of Spatially Explicit Artificial Intelligence (SEAI) Lab, University of Texas at Austin
Abstract: The talk presents several recent works from the SEAI Lab about spatial representation, including various location encoding models, an SRL deep learning framework (TorchSpatial), and a SRL-powered geo-foundation model (GAIR).
Co-sponsored by the UW-Madison Data Science Institute
Guest Speaker: Dr. Gengchen Mai, Director of Spatially Explicit Artificial Intelligence (SEAI) Lab, University of Texas at Austin
Abstract: The talk presents several recent works from the SEAI Lab about spatial representation, including various location encoding models, an SRL deep learning framework (TorchSpatial), and a SRL-powered geo-foundation model (GAIR).
Cost
0
Contact
Accessibility
We value inclusion and access for all participants and are pleased to provide reasonable accommodations for this event. Please call 608-262-2139 or email song.gao@wisc.edu to make a disability-related accommodation request. Reasonable effort will be made to support your request.