| 2023 | ACSSC | Learning Non-myopic Power Allocation in Constrained Scenarios. | Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra |
| 2022 | ICASSP | Label Propagation Across Graphs: Node Classification Using Graph Neural Tangent Kernels. | Artun Bayer, Arindam Chowdhury, Santiago Segarra |
| 2022 | ICASSP | Stability Analysis of Unfolded WMMSE for Power Allocation. | Arindam Chowdhury, Fernando Gama, Santiago Segarra |
| 2021 | ICASSP | Efficient Power Allocation Using Graph Neural Networks and Deep Algorithm Unfolding. | Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra |
| 2019 | IJCNN | ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. | Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig |
| 2018 | ACCV | 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 |
| 2018 | ACCV | Reading Industrial Inspection Sheets by Inferring Visual Relations. | Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig |
| 2018 | BMVC | An Efficient End-to-End Neural Model for Handwritten Text Recognition. | Arindam Chowdhury, Lovekesh Vig |
| 2017 | VTC | Ultra-Wideband Channel Modeling for Hurricanes. | Wahab Khawaja, Ismail Gven, Arindam Chowdhury |