Arindam Chowdhury

According to our database, Arindam Chowdhury authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GIST: distributed training for large-scale graph convolutional networks.

Cameron R. Wolfe, Jingkang Yang, Fangshuo Liao, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis

J. Appl. Comput. Topol., October, 2024

Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks.

Arindam Chowdhury, Gunjan Verma, Ananthram Swami, Santiago Segarra

IEEE Trans. Wirel. Commun., May, 2024

Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model.

Alloy Das, Rohit Agarwal, Rituparna Singh, Arindam Chowdhury, Debashis Nandi

CoRR, 2024

2023

Learning Non-myopic Power Allocation in Constrained Scenarios.

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

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Stability Analysis of Unfolded WMMSE for Power Allocation.

Arindam Chowdhury, Fernando Gama, Santiago Segarra

Proceedings of the IEEE International Conference on Acoustics, 2022

Label Propagation Across Graphs: Node Classification Using Graph Neural Tangent Kernels.

Artun Bayer, Arindam Chowdhury, Santiago Segarra

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Unfolding WMMSE Using Graph Neural Networks for Efficient Power Allocation.

Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra

IEEE Trans. Wirel. Commun., 2021

GIST: Distributed Training for Large-Scale Graph Convolutional Networks.

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

CoRR, 2021

ML-aided power allocation for Tactical MIMO.

Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra

Proceedings of the 2021 IEEE Military Communications Conference, 2021

Efficient Power Allocation Using Graph Neural Networks and Deep Algorithm Unfolding.

Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra

Proceedings of the IEEE International Conference on Acoustics, 2021

2019

ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks.

Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

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

Arindam Chowdhury, Lovekesh Vig

Proceedings of the British Machine Vision Conference 2018, 2018

Reading Industrial Inspection Sheets by Inferring Visual Relations.

Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

Deep Reader: Information Extraction from Document Images via Relation Extraction and Natural Language.

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

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2017

Ultra-Wideband Channel Modeling for Hurricanes.

Wahab Khawaja, Ismail Güvenç, Arindam Chowdhury

Proceedings of the 86th IEEE Vehicular Technology Conference, 2017