Publications

2023

1. JACT’23

   GIST: Distributed training for large-scale graph convolutional networks

   Cameron R Wolfe, Jingkang Yang, Fangshuo Liao, Arindam Chowdhury, and 4 more authors

   Journ. of App. and Comp. Topo., 2023

   Bib PDF Code

   @article{wolfe2023gist,
     title = {GIST: Distributed training for large-scale graph convolutional networks},
     author = {Wolfe, Cameron R and Yang, Jingkang and Liao, Fangshuo and Chowdhury, Arindam and Dun, Chen and Bayer, Artun and Segarra, Santiago and Kyrillidis, Anastasios},
     journal = {Journ. of App. and Comp. Topo.},
     pages = {1--53},
     year = {2023},
     publisher = {Springer},
   }

2. TWCe’23

   Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks

   Arindam Chowdhury, Gunjan Verma, Ananthram Swami, and Santiago Segarra

   IEEE Trans. Wireless Commun. (early access), 2023

   Bib PDF Code

   @article{chowdhury2023deep,
     title = {{Deep Graph Unfolding for Beamforming in {MU-MIMO} Interference Networks}},
     author = {Chowdhury, Arindam and Verma, Gunjan and Swami, Ananthram and Segarra, Santiago},
     journal = {IEEE Trans. Wireless Commun. (early access)},
     pages = {1--1},
     year = {2023},
     publisher = {IEEE},
   }

3. ASILOMAR’23

   Learning Non-myopic Power Allocation in Constrained Scenarios

   Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Chirag Rao, and 2 more authors

   Asilomar Conf. Signals, Systems, and Computers, 2023

   Bib PDF Code

   @article{chowdhury2023learning,
     title = {Learning Non-myopic Power Allocation in Constrained Scenarios},
     author = {Chowdhury, Arindam and Paternain, Santiago and Verma, Gunjan and Rao, Chirag and Swami, Ananthram and Segarra, Santiago},
     journal = {Asilomar Conf. Signals, Systems, and Computers},
     year = {2023},
     publisher = {IEEE},
   }

2022

1. ICASSP’22

   Stability Analysis of Unfolded WMMSE for Power Allocation

   Arindam Chowdhury, Fernando Gama, and Santiago Segarra

   In IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), 2022

   Bib HTML Code

   @inproceedings{chowdhury2022stability,
     title = {Stability Analysis of Unfolded WMMSE for Power Allocation},
     author = {Chowdhury, Arindam and Gama, Fernando and Segarra, Santiago},
     booktitle = {IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP)},
     pages = {5298--5302},
     year = {2022},
   }

2. ICASSP’22

   Label propagation across graphs: Node classification using graph neural tangent kernels

   Artun Bayer, Arindam Chowdhury, and Santiago Segarra

   In IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), 2022

   Bib HTML

   @inproceedings{bayer2022label,
     title = {Label propagation across graphs: Node classification using graph neural tangent kernels},
     author = {Bayer, Artun and Chowdhury, Arindam and Segarra, Santiago},
     booktitle = {IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP)},
     pages = {5483--5487},
     year = {2022},
     organization = {IEEE},
   }

2021

1. TWC’21

   Unfolding WMMSE using graph neural networks for efficient power allocation

   Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, and 1 more author

   IEEE Trans. Wireless Commun., 2021

   Bib HTML Code

   @article{chowdhury2021unfolding,
     title = {Unfolding {WMMSE} using graph neural networks for efficient power allocation},
     author = {Chowdhury, Arindam and Verma, Gunjan and Rao, Chirag and Swami, Ananthram and Segarra, Santiago},
     journal = {IEEE Trans. Wireless Commun.},
     volume = {20},
     number = {9},
     pages = {6004--6017},
     year = {2021},
     publisher = {IEEE},
   }

2. ICASSP’21

   Efficient power allocation using graph neural networks and deep algorithm unfolding

   Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, and 1 more author

   In IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), 2021

   Bib HTML Code

   @inproceedings{chowdhury2021efficient,
     title = {Efficient power allocation using graph neural networks and deep algorithm unfolding},
     author = {Chowdhury, Arindam and Verma, Gunjan and Rao, Chirag and Swami, Ananthram and Segarra, Santiago},
     booktitle = {IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP)},
     pages = {4725--4729},
     year = {2021},
     organization = {IEEE},
   }

3. MILCOM’21

   ML-aided power allocation for Tactical MIMO

   Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, and 1 more author

   In IEEE Military Commun. Conf. (MILCOM), 2021

   Bib HTML Code

   @inproceedings{chowdhury2021ml,
     title = {ML-aided power allocation for Tactical {MIMO}},
     author = {Chowdhury, Arindam and Verma, Gunjan and Rao, Chirag and Swami, Ananthram and Segarra, Santiago},
     booktitle = {IEEE Military Commun. Conf. (MILCOM)},
     pages = {273--278},
     organization = {IEEE},
     year = {2021},
   }

2019

1. IJCNN’19

   Chartnet: Visual reasoning over statistical charts using mac-networks

   Monika Sharma, Shikha Gupta, Arindam Chowdhury, and Lovekesh Vig

   In Intl. Joint Conf. on Neural Net. (IJCNN), 2019

   Bib HTML

   @inproceedings{sharma2019chartnet,
     title = {Chartnet: Visual reasoning over statistical charts using mac-networks},
     author = {Sharma, Monika and Gupta, Shikha and Chowdhury, Arindam and Vig, Lovekesh},
     booktitle = {Intl. Joint Conf. on Neural Net. (IJCNN)},
     pages = {1--7},
     year = {2019},
     organization = {IEEE},
   }

2018

1. ACCV’18

   Deep reader: Information extraction from document images via relation extraction and natural language

   Rohit Rahul, Gunjan Sehgal, Arindam Chowdhury, Monika Sharma, and 4 more authors

   In Asian Conf. on Comp. Vision (ACCV), 2018

   Bib HTML

   @inproceedings{rahul2018deep,
     title = {Deep reader: Information extraction from document images via relation extraction and natural language},
     author = {Rahul, Rohit and Sehgal, Gunjan and Chowdhury, Arindam and Sharma, Monika and Vig, Lovekesh and Shroff, Gautam and Srinivasan, Ashwin and others},
     booktitle = {Asian Conf. on Comp. Vision (ACCV)},
     year = {2018},
     organization = {Springer},
   }

2. ACCV’18

   Reading industrial inspection sheets by inferring visual relations

   Rohit Rahul, Arindam Chowdhury,  Animesh, Samarth Mittal, and 1 more author

   In Asian Conf. on Comp. Vision (ACCV), 2018

   Bib HTML

   @inproceedings{rahul2019reading,
     title = {Reading industrial inspection sheets by inferring visual relations},
     author = {Rahul, Rohit and Chowdhury, Arindam and Animesh and Mittal, Samarth and Vig, Lovekesh},
     booktitle = {Asian Conf. on Comp. Vision (ACCV)},
     pages = {159--173},
     year = {2018},
     organization = {Springer},
   }

2017

1. BMVC’18

   An efficient end-to-end neural model for handwritten text recognition

   Arindam Chowdhury, and Lovekesh Vig

   British Mach. Vision Conf. (BMVC), 2017

   Bib HTML

   @article{chowdhury2018efficient,
     title = {An efficient end-to-end neural model for handwritten text recognition},
     author = {Chowdhury, Arindam and Vig, Lovekesh},
     journal = {British Mach. Vision Conf. (BMVC)},
     year = {2017},
   }