Arindam Chowdhury

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Power Allocation

Top Venues

IEEE Trans. Wirel. Commun.

Publications

Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra
Learning Non-myopic Power Allocation in Constrained Scenarios. CoRR (2024)
Arindam Chowdhury, Gunjan Verma, Ananthram Swami, Santiago Segarra
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks. IEEE Trans. Wirel. Commun. 23 (5) (2024)
Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra
Learning Non-myopic Power Allocation in Constrained Scenarios. ACSSC (2023)
Arindam Chowdhury, Gunjan Verma, Ananthram Swami, Santiago Segarra
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks. CoRR (2023)
Arindam Chowdhury, Fernando Gama, Santiago Segarra
Stability Analysis of Unfolded WMMSE for Power Allocation. ICASSP (2022)
Artun Bayer, Arindam Chowdhury, Santiago Segarra
Label Propagation Across Graphs: Node Classification Using Graph Neural Tangent Kernels. ICASSP (2022)
Arindam Chowdhury, Fernando Gama, Santiago Segarra
Stability Analysis of Unfolded WMMSE for Power Allocation. CoRR (2021)
Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
Efficient Power Allocation Using Graph Neural Networks and Deep Algorithm Unfolding. ICASSP (2021)
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 (2021)
Artun Bayer, Arindam Chowdhury, Santiago Segarra
Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels. CoRR (2021)
Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
ML-aided power allocation for Tactical MIMO. CoRR (2021)
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) (2021)
Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
ML-aided power allocation for Tactical MIMO. MILCOM (2021)
Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
Efficient power allocation using graph neural networks and deep algorithm unfolding. CoRR (2020)
Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. CoRR (2019)
Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. IJCNN (2019)
Arindam Chowdhury, Lovekesh Vig
An Efficient End-to-End Neural Model for Handwritten Text Recognition. CoRR (2018)
Arindam Chowdhury, Lovekesh Vig
An Efficient End-to-End Neural Model for Handwritten Text Recognition. BMVC (2018)
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 (2018)
Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig
Reading Industrial Inspection Sheets by Inferring Visual Relations. ACCV Workshops (2018)
Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig
Reading Industrial Inspection Sheets by Inferring Visual Relations. CoRR (2018)
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)
Wahab Khawaja, Ismail Güvenç, Arindam Chowdhury
Ultra-Wideband Channel Modeling for Hurricanes. VTC Fall (2017)