19 citations · 21 across the 12 of their papers we have counts for
12 papers
Fault-tolerant Network Design for Bounded Delay Data Transfer from PMUs to Control Center
A. Sen, C. Sumnicht, S. Adeniye +2
Communication network design for monitoring the state of an electric power grid has received significant attention in recent years. In order to measure stability of a power grid, i…
Robust Class-Conditional Distribution Alignment for Partial Domain Adaptation
Sandipan Choudhuri, Arunabha Sen
Unwanted samples from private source categories in the learning objective of a partial domain adaptation setup can lead to negative transfer and reduce classification performance.…
Methodologies for Selection of Optimal Sites for Renewable Energy Under a Diverse Set of Constraints and Objectives
Arunabha Sen, Christopher Sumnicht, Sandipan Choudhuri +2
In this paper, we present methodologies for optimal selection for renewable energy sites under a different set of constraints and objectives. We consider two different models for t…
A Robust Negative Learning Approach to Partial Domain Adaptation Using Source Prototypes
Sandipan Choudhuri, Suli Adeniye, Arunabha Sen
This work proposes a robust Partial Domain Adaptation (PDA) framework that mitigates the negative transfer problem by incorporating a robust target-supervision strategy. It leverag…
Quantum Communication in 6G Satellite Networks: Entanglement Distribution Across Changing Topologies
A. Sen, C. Sumnicht, S. Choudhuri +2
As LEO/VLEO satellites offer many attractive features, such as low transmission delay, they are expected to be an integral part of 6G. Global entanglement distribution over LEO and…
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…
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…
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation
Sandipan Choudhuri, Riti Paul, Arunabha Sen +2
The generalization power of deep-learning models is dependent on rich-labelled data. This supervision using large-scaled annotated information is restrictive in most real-world sce…
Predicting Future Opioid Incidences Today
Sandipan Choudhuri, Kaustav Basu, Kevin Thomas +1
According to the Center of Disease Control (CDC), the Opioid epidemic has claimed more than 72,000 lives in the US in 2017 alone. In spite of various efforts at the local, state an…
Insights from Statistical Analysis of Opioid Data
Kaustav Basu, Sandipan Choudhuri, Arunabha Sen +1
Opioid overdose has emerged as a full blown epidemic in the United States. In the last few years, there has been an alarming increase in Opioid related deaths, resulting in the los…
Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling
Aritra Das, Swarnendu Ghosh, Ritesh Sarkhel +3
Modern deep learning algorithms have triggered various image segmentation approaches. However most of them deal with pixel based segmentation. However, superpixels provide a certai…
User Satisfaction-Driven Bandwidth Allocation for Image Transmission in a Crowded Environment
Sandipan Choudhuri, Kaustav Basu, Arunabha Sen
A major portion of postings on social networking sites constitute high quality digital images and videos. These images and videos require a fairly large amount of bandwidth during…