7 citations · 17 across the 8 of their papers we have counts for
9 papers
Learning Optimal Features via Partial Invariance
Moulik Choraria, Ibtihal Ferwana, Ankur Mani +1
Learning models that are robust to distribution shifts is a key concern in the context of their real-life applicability. Invariant Risk Minimization (IRM) is a popular framework th…
Provably High-Quality Solutions for the Liquid Medical Oxygen Allocation Problem
Lejun Zhou, Lavanya Marla, Varun Gupta +1
Oxygen is an essential life-saving medicine used in several indications at all levels of healthcare. During the COVID-19 pandemic, the demand for liquid medical oxygen (LMO) has in…
Balancing Fairness and Robustness via Partial Invariance
Moulik Choraria, Ibtihal Ferwana, Ankur Mani +1
The Invariant Risk Minimization (IRM) framework aims to learn invariant features from a set of environments for solving the out-of-distribution (OOD) generalization problem. The un…
Transactive Framework for Dynamic Energy Storage Allocation for Critical Load Management
Arnab Dey, Vivek Khatana, Ankur Mani +1
Increased penetration of Distributed Energy Resources (DER) and Renewable Energy Systems (RES) transforming the conventional distribution grid into a transactive framework supervis…
University Operations During a Pandemic: A Flexible Decision Analysis Toolkit
Himanshu Kharkwal, Dakota Olson, Jiali Huang +3
Modeling infection spread during pandemics is not new, with models using past data to tune simulation parameters for predictions. These help understand the healthcare burden posed…
On Mitigating the Uncertainty in Renewable Generation in Distribution Microgrids
Arnab Dey, Vivek Khatana, Ankur Mani +1
In this article, we focus on the problem of mitigating the risk of not being able to meet the power demand, due to the inherent uncertainty of renewable energy generation sources i…