Arindam Chowdhury

29 papers A 1B 1Misc 4Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research. CoRR Ahmed Almeldein, Mohammed Alnaggar, Rick Archibald, Tom Beck, Arpan Biswas, Rike Bostelmann, Wes Brewer, Chris Bryan, Christopher Calle, Cihangir Celik, Rajni Chahal, Jong Youl Choi, Arindam Chowdhury, Mark R. Cianciosa, Franklin Curtis, Gregory G. Davidson, Sebastian De Pascuale, Lisa Fassino, Ana Gainaru, Yashika Ghai, Luke Gibson, Qian Gong, Christopher Greulich, Scott Greenwood, Cory D. Hauck, Ehab Hassan, Rinkle Juneja, Soyoung Kang, Scott Klasky, Atul Kumar, Vineet Kumar, M. Paul Laiu, Calvin Lear, Yan-Ru Lin, Jono McConnell, Furkan Oz, Rishi Pillai, Anant Raj, Pradeep Ramuhalli, Marie Romedenne, Samantha Sabatino, José Salcedo-Pérez, Nathan D. See, Arpan Sircar, Punam Thankur, Timothy Reed Younkin, Xiao-Ying Yu, Prashant Jain, Tom Evans, Prasanna Balaprakash
2025	J	`jnl`	Rim learning framework based on TS-GAN: A new paradigm of automated glaucoma screening from fundus images. Comput. Biol. Medicine Arindam Chowdhury, Ankit Lodh, Rohit Agarwal, Rahul Garai, Ahana Nandi, Narayan Murmu, Sumit Banerjee, Debashis Nandi
2025	J	`jnl`	When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning. CoRR Arindam Chowdhury, Massimiliano Lupo Pasini
2024	J	`jnl`	Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model. CoRR Alloy Das, Rohit Agarwal, Rituparna Singh, Arindam Chowdhury, Debashis Nandi
2024	J	`jnl`	Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks. IEEE Trans. Wirel. Commun. Arindam Chowdhury, Gunjan Verma, Ananthram Swami, Santiago Segarra
2024	J	`jnl`	Deep Quasi-Recurrent Self-Attention With Dual Encoder-Decoder in Biomedical CT Image Segmentation. IEEE J. Biomed. Health Informatics Rohit Agarwal, Arindam Chowdhury, Rajib Kumar Chatterjee, Haradhan Chel, Chiranjib Murmu, Narayan Murmu, Debashis Nandi
2024	J	`jnl`	GIST: distributed training for large-scale graph convolutional networks. J. Appl. Comput. Topol. Cameron R. Wolfe, Jingkang Yang, Fangshuo Liao, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis
2024	J	`jnl`	Learning Non-myopic Power Allocation in Constrained Scenarios. CoRR Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra
2023	J	`jnl`	Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks. CoRR Arindam Chowdhury, Gunjan Verma, Ananthram Swami, Santiago Segarra
2023	Misc	`conf`	Learning Non-myopic Power Allocation in Constrained Scenarios. ACSSC Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra
2022	Misc	`conf`	Label Propagation Across Graphs: Node Classification Using Graph Neural Tangent Kernels. ICASSP Artun Bayer, Arindam Chowdhury, Santiago Segarra
2022	Misc	`conf`	Stability Analysis of Unfolded WMMSE for Power Allocation. ICASSP Arindam Chowdhury, Fernando Gama, Santiago Segarra
2021	Misc	`conf`	Efficient Power Allocation Using Graph Neural Networks and Deep Algorithm Unfolding. ICASSP Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2021	J	`jnl`	GIST: Distributed Training for Large-Scale Graph Convolutional Networks. CoRR Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis
2021	J	`jnl`	Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels. CoRR Artun Bayer, Arindam Chowdhury, Santiago Segarra
2021	—	`conf`	ML-aided power allocation for Tactical MIMO. MILCOM Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2021	J	`jnl`	ML-aided power allocation for Tactical MIMO. CoRR Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2021	J	`jnl`	Stability Analysis of Unfolded WMMSE for Power Allocation. CoRR Arindam Chowdhury, Fernando Gama, Santiago Segarra
2021	J	`jnl`	Unfolding WMMSE Using Graph Neural Networks for Efficient Power Allocation. IEEE Trans. Wirel. Commun. Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2020	J	`jnl`	Efficient power allocation using graph neural networks and deep algorithm unfolding. CoRR Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2019	B	`conf`	ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. IJCNN Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig
2019	J	`jnl`	ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. CoRR Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig
2018	A	`conf`	An Efficient End-to-End Neural Model for Handwritten Text Recognition. BMVC Arindam Chowdhury, Lovekesh Vig
2018	J	`jnl`	An Efficient End-to-End Neural Model for Handwritten Text Recognition. CoRR Arindam Chowdhury, Lovekesh Vig
2018	—	`conf`	Deep Reader: Information Extraction from Document Images via Relation Extraction and Natural Language. ACCV Workshops Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
2018	J	`jnl`	Deep Reader: Information extraction from Document images via relation extraction and Natural Language. CoRR Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
2018	—	`conf`	Reading Industrial Inspection Sheets by Inferring Visual Relations. ACCV Workshops Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig
2018	J	`jnl`	Reading Industrial Inspection Sheets by Inferring Visual Relations. CoRR Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig
2017	—	`conf`	Ultra-Wideband Channel Modeling for Hurricanes. VTC Fall Wahab Khawaja, Ismail Güvenç, Arindam Chowdhury