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Stability Analysis of Unfolded WMMSE for Power Allocation


Oct 14, 2021
Arindam Chowdhury, Fernando Gama, Santiago Segarra

* Under review at IEEE ICASSP 2022 

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Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels


Oct 07, 2021
Artun Bayer, Arindam Chowdhury, Santiago Segarra

* Under review at IEEE ICASSP 2022 

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ML-aided power allocation for Tactical MIMO


Sep 14, 2021
Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra

* Under review at MILCOM 2021 

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GIST: Distributed Training for Large-Scale Graph Convolutional Networks


Feb 20, 2021
Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis

* 17 pages, 5 figures, pre-print under review 

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Efficient power allocation using graph neural networks and deep algorithm unfolding


Nov 18, 2020
Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra

* Under review at IEEE ICASSP 2021. arXiv admin note: text overlap with arXiv:2009.10812 

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ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks


Nov 21, 2019
Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig

* International Joint Conference on Neural Networks (IJCNN) 2019 

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Deep Reader: Information extraction from Document images via relation extraction and Natural Language


Dec 14, 2018
Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan

* Published in 3rd International Workshop on Robust Reading at Asian Conference of Computer Vision 2018 

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Reading Industrial Inspection Sheets by Inferring Visual Relations


Dec 11, 2018
Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig

* Published in 3rd International Workshop on Robust Reading at Asian Conference on Computer Vision 2018 

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An Efficient End-to-End Neural Model for Handwritten Text Recognition


Jul 26, 2018
Arindam Chowdhury, Lovekesh Vig

* Accepted at British Machine Vision Conference 2018 

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