Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Mani, Ankur"'
The integration of renewable energy sources (RES) into power distribution grids poses challenges to system reliability due to the inherent uncertainty in their power production. To address this issue, battery energy sources (BESs) are being increasin
Externí odkaz:
http://arxiv.org/abs/2403.08114
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 that aims to learn robust models from multiple environments. The success
Externí odkaz:
http://arxiv.org/abs/2301.12067
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 increased significantly due to the occurrence of lung infections in many
Externí odkaz:
http://arxiv.org/abs/2212.05557
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 underlying assumption is that the causal components of the data generati
Externí odkaz:
http://arxiv.org/abs/2112.09346
Increased penetration of Distributed Energy Resources (DER) and Renewable Energy Systems (RES) transforming the conventional distribution grid into a transactive framework supervised by a distribution system operator (DSO). Although the emerging tran
Externí odkaz:
http://arxiv.org/abs/2101.05890
Autor:
Kharkwal, Himanshu, Olson, Dakota, Huang, Jiali, Mohan, Abhiraj, Mani, Ankur, Srivastava, Jaideep
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 by a pandemic and respond accordingly. However, the problem of how col
Externí odkaz:
http://arxiv.org/abs/2010.10112
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 in microgrids. We consider three different demand scenarios, namely mee
Externí odkaz:
http://arxiv.org/abs/2007.08641
We consider a strategic network quantizer design setting where agents must balance fidelity in representing their local source distributions against their ability to successfully communicate with other connected agents. We study the problem as a netw
Externí odkaz:
http://arxiv.org/abs/2006.00584
Autor:
Mani, Ankur
Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, February 2014.
120
Cataloged from PDF version of thesis.
Includes bibliographical references (pages [169]-1
120
Cataloged from PDF version of thesis.
Includes bibliographical references (pages [169]-1
Externí odkaz:
http://hdl.handle.net/1721.1/91435
In this paper we study the generalized version of weighted matching in bipartite networks. Consider a weighted matching in a bipartite network in which the nodes derive value from the split of the matching edge assigned to them if they are matched. T
Externí odkaz:
http://arxiv.org/abs/1011.3062