9 citations · 27 across the 7 of their papers we have counts for
4 papers · 1 filter
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data
Hari Prasanna Das, Ryan Tran, Japjot Singh +4
At the onset of a pandemic, such as COVID-19, data with proper labeling/attributes corresponding to the new disease might be unavailable or sparse. Machine L…
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training
Hari Prasanna Das, Ryan Tran, Japjot Singh +2
How to generate conditional synthetic data for a domain without utilizing information about its labels/attributes? Our work presents a solution to the above question. We propose a…
Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs
Doseok Jang, Lucas Spangher, Manan Khattar +3
Our team is proposing to run a full-scale energy demand response experiment in an office building. Although this is an exciting endeavor which will provide value to the community,…
Selling Renewable Utilization Service to Consumers via Cloud Energy Storage
Yu Yang, Utkarsha Agwan, Guoqiang Hu +1
This paper proposes a cloud energy storage (CES) model for enabling local renewable integration of building consumers (BCs). Different from most existing third-party based ES shari…