2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2025
Modeling Spatial Extremes using Non-Gaussian Spatial Autoregressive Models via Convolutional Neural Networks
Sweta Rai, Douglas W. Nychka, Soutir Bandyopadhyay
Data derived from remote sensing or numerical simulations often have a regular gridded structure and are large in volume, making it challenging to find accurate spatial models that…
stat.ML2023
Fast parameter estimation of Generalized Extreme Value distribution using Neural Networks
Sweta Rai, Alexis Hoffman, Soumendra Lahiri +3
The heavy-tailed behavior of the generalized extreme-value distribution makes it a popular choice for modeling extreme events such as floods, droughts, heatwaves, wildfires, etc. H…
cs.CY2014★ 2 cited
Student Dropout Risk Assessment in Undergraduate Course at Residential University
Sweta Rai
Student dropout prediction is an indispensable for numerous intelligent systems to measure the education system and success rate of any university as well as throughout the univers…