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ORCIDArindam Chowdhury
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2020 – today
- 2024
[j3]Cameron R. Wolfe, Jingkang Yang, Fangshuo Liao, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis:
GIST: distributed training for large-scale graph convolutional networks. J. Appl. Comput. Topol. 8(5): 1363-1415 (2024)- [j2]Arindam Chowdhury
, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks. IEEE Trans. Wirel. Commun. 23(5): 4889-4903 (2024) - [i12]Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Learning Non-myopic Power Allocation in Constrained Scenarios. CoRR abs/2401.10297 (2024) - [i11]Alloy Das, Rohit Agarwal, Rituparna Singh, Arindam Chowdhury, Debashis Nandi:
Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model. CoRR abs/2408.14927 (2024) - 2023
- [c10]Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Learning Non-myopic Power Allocation in Constrained Scenarios. ACSSC 2023: 804-808 - [i10]Arindam Chowdhury, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks. CoRR abs/2304.00446 (2023) - 2022
- [c9]Arindam Chowdhury, Fernando Gama, Santiago Segarra:
Stability Analysis of Unfolded WMMSE for Power Allocation. ICASSP 2022: 5298-5302 - [c8]Artun Bayer, Arindam Chowdhury, Santiago Segarra:
Label Propagation Across Graphs: Node Classification Using Graph Neural Tangent Kernels. ICASSP 2022: 5483-5487 - 2021
- [j1]Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Unfolding WMMSE Using Graph Neural Networks for Efficient Power Allocation. IEEE Trans. Wirel. Commun. 20(9): 6004-6017 (2021) - [c7]Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Efficient Power Allocation Using Graph Neural Networks and Deep Algorithm Unfolding. ICASSP 2021: 4725-4729 - [c6]Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
ML-aided power allocation for Tactical MIMO. MILCOM 2021: 273-278 - [i9]Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis:
GIST: Distributed Training for Large-Scale Graph Convolutional Networks. CoRR abs/2102.10424 (2021) - [i8]Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
ML-aided power allocation for Tactical MIMO. CoRR abs/2109.06992 (2021) - [i7]Artun Bayer, Arindam Chowdhury, Santiago Segarra:
Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels. CoRR abs/2110.03763 (2021) - [i6]Arindam Chowdhury, Fernando Gama, Santiago Segarra:
Stability Analysis of Unfolded WMMSE for Power Allocation. CoRR abs/2110.07471 (2021) - 2020
- [i5]Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Efficient power allocation using graph neural networks and deep algorithm unfolding. CoRR abs/2012.02250 (2020)
2010 – 2019
- 2019
- [c5]Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig:
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. IJCNN 2019: 1-7 - [i4]Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig:
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. CoRR abs/1911.09375 (2019) - 2018
- [c4]Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig:
Reading Industrial Inspection Sheets by Inferring Visual Relations. ACCV Workshops 2018: 159-173 - [c3]Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan:
Deep Reader: Information Extraction from Document Images via Relation Extraction and Natural Language. ACCV Workshops 2018: 186-201 - [c2]Arindam Chowdhury, Lovekesh Vig:
An Efficient End-to-End Neural Model for Handwritten Text Recognition. BMVC 2018: 202 - [i3]Arindam Chowdhury, Lovekesh Vig:
An Efficient End-to-End Neural Model for Handwritten Text Recognition. CoRR abs/1807.07965 (2018) - [i2]Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan:
Deep Reader: Information extraction from Document images via relation extraction and Natural Language. CoRR abs/1812.04377 (2018) - [i1]Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig:
Reading Industrial Inspection Sheets by Inferring Visual Relations. CoRR abs/1812.07104 (2018) - 2017
- [c1]Wahab Khawaja, Ismail Güvenç, Arindam Chowdhury:
Ultra-Wideband Channel Modeling for Hurricanes. VTC Fall 2017: 1-6
Coauthor Index
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