research
∙
09/06/2023
On the Existence of Steady-State Solutions to the Equations Governing Fluid Flow in Networks
The steady-state solution of fluid flow in pipeline infrastructure netwo...
share
research
∙
04/18/2023
Semi-supervised Learning of Pushforwards For Domain Translation Adaptation
Given two probability densities on related data spaces, we seek a map pu...
research
∙
12/14/2022
Generative structured normalizing flow Gaussian processes applied to spectroscopic data
In this work, we propose a novel generative model for mapping inputs to ...
research
∙
02/16/2022
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques
Recent years have seen the adoption of Machine Learning (ML) techniques ...
research
∙
08/17/2021
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra
Constructing probability densities for inference in high-dimensional spe...
research
∙
11/20/2020
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials
Catastrophic failure in brittle materials is often due to the rapid grow...
research
∙
11/15/2019