research
∙
06/05/2023
Deep Generalized Green's Functions
In this study, we address the challenge of obtaining a Green's function ...
share
research
∙
01/31/2023
Deep Active Learning for Scientific Computing in the Wild
Deep learning (DL) is revolutionizing the scientific computing community...
research
∙
10/23/2022
Transformers For Recognition In Overhead Imagery: A Reality Check
There is evidence that transformers offer state-of-the-art recognition p...
research
∙
01/29/2022
Hyperparameter-free deep active learning for regression problems via query synthesis
In the past decade, deep active learning (DAL) has heavily focused upon ...
research
∙
11/26/2021
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions
Numerous physical systems are described by ordinary or partial different...
research
∙
01/16/2021
GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery
Energy system information valuable for electricity access planning such ...
research
∙
09/27/2020