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20102023
most citedCoupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation

19 citations · 62 across the 27 of their papers we have counts for

collaborators

27 papers

cs.NI2023

Entanglement Distribution in Satellite-based Dynamic Quantum Networks

Alena Chang, Yinxin Wan, Guoliang Xue +1

Low Earth Orbit (LEO) satellites present a compelling opportunity for the establishment of a global quantum information network. However, satellite-based entanglement distribution…

cs.LG2022

Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation

Sandipan Choudhuri, Suli Adeniye, Arunabha Sen +1

The standard closed-set domain adaptation approaches seek to mitigate distribution discrepancies between two domains under the constraint of both sharing identical label sets. Howe…

cs.LG2022★ 19 cited

Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation

Sandipan Choudhuri, Hemanth Venkateswara, Arunabha Sen

In contrast to a standard closed-set domain adaptation task, partial domain adaptation setup caters to a realistic scenario by relaxing the identical label set assumption. The fact…

cs.GT2021

A Leader-Follower Game Theoretic Approach to Arrest Cascading Failure in Smart Grid

Sohini Roy, Arunabha Sen

The Smart Grid System (SGS) is a joint network comprising the power and the communication network. In this paper, the underlying intra-and-interdependencies between entities for a…

cs.CR2021

Identification and Mitigation of False Data Injection using Multi State Implicative Interdependency Model (MSIIM) for Smart Grid

Sohini Roy, Arunabha Sen

Smart grid monitoring, automation and control will completely rely on PMU based sensor data soon. Accordingly, a high throughput, low latency Information and Communication Technolo…

eess.SY2021

A Self-Updating K-Contingency List for Smart Grid System

Sohini Roy, Arunabha Sen

A reliable decision making by the operator in a smart grid is contingent upon correct analysis of intra-and-interdependencies between its entities and also on accurate identificati…