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Arindam Chowdhury

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Learning Non-myopic Power Allocation in Constrained Scenarios

Jan 18, 2024
Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra

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Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks

Apr 02, 2023
Arindam Chowdhury, Gunjan Verma, Ananthram Swami, Santiago Segarra

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Stability Analysis of Unfolded WMMSE for Power Allocation

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

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

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

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ML-aided power allocation for Tactical MIMO

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

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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

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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

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ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks

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

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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

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Reading Industrial Inspection Sheets by Inferring Visual Relations

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

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