8 citations · 21 across the 10 of their papers we have counts for
10 papers
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling
Subhankar Ghosh, Arun Sharma, Jayant Gupta +2
Given coarser-resolution projections from global climate models or satellite data, the downscaling problem aims to estimate finer-resolution regional climate data, capturing fine-s…
Towards Statistically Significant Taxonomy Aware Co-location Pattern Detection
Subhankar Ghosh, Arun Sharma, Jayant Gupta +1
Given a collection of Boolean spatial feature types, their instances, a neighborhood relation (e.g., proximity), and a hierarchical taxonomy of the feature types, the goal is to fi…
Reducing False Discoveries in Statistically-Significant Regional-Colocation Mining: A Summary of Results
Subhankar Ghosh, Jayant Gupta, Arun Sharma +2
Given a set \emph{S} of spatial feature types, its feature instances, a study area, and a neighbor relationship, the goal is to find pairs a region (), a subset \emph{C}…
Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data
Majid Farhadloo, Arun Sharma, Jayant Gupta +3
Given multi-category point sets from different place-types, our goal is to develop a spatially-lucid classifier that can distinguish between two classes based on the arrangements o…
Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach
Subhankar Ghosh, Shuai An, Arun Sharma +3
Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty. This problem is important becau…
A Survey on Solving and Discovering Differential Equations Using Deep Neural Networks
Hyeonjung, Jung, Jayant Gupta +6
Ordinary and partial differential equations (DE) are used extensively in scientific and mathematical domains to model physical systems. Current literature has focused primarily on…