activity
20182022
most citedA Novel Graphical Lasso based approach towards Segmentation Analysis in Energy Game-Theoretic Frameworks

18 citations · 43 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2022★ 6 cited

Machine Learning for Smart and Energy-Efficient Buildings

Hari Prasanna Das, Yu-Wen Lin, Utkarsha Agwan +7

Energy consumption in buildings, both residential and commercial, accounts for approximately 40% of all energy usage in the U.S., and similar numbers are being reported from countr…

cs.LG2022★ 2 cited

Conditional Synthetic Data Generation for Personal Thermal Comfort Models

Hari Prasanna Das, Costas J. Spanos

Personal thermal comfort models aim to predict an individual's thermal comfort response, instead of the average response of a large group. Recently, machine learning algorithms hav…

cs.CV2021★ 6 cited

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…

cs.LG2019★ 9 cited

Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure

Ioannis C. Konstantakopoulos, Hari Prasanna Das, Andrew R. Barkan +6

In this paper, we propose a gamification approach as a novel framework for smart building infrastructure with the goal of motivating human occupants to reconsider personal energy u…

cs.LG2019★ 18 cited

A Novel Graphical Lasso based approach towards Segmentation Analysis in Energy Game-Theoretic Frameworks

Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala +3

Energy game-theoretic frameworks have emerged to be a successful strategy to encourage energy efficient behavior in large scale by leveraging human-in-the-loop strategy. A number o…

cs.LG2019★ 2 cited

Likelihood Contribution based Multi-scale Architecture for Generative Flows

Hari Prasanna Das, Pieter Abbeel, Costas J. Spanos

Deep generative modeling using flows has gained popularity owing to the tractable exact log-likelihood estimation with efficient training and synthesis process. However, flow model…

cs.LG2018

Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso

Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala +3

A generalized gamification framework is introduced as a form of smart infrastructure with potential to improve sustainability and energy efficiency by leveraging humans-in-the-loop…