| Long-term forecasting with tide: Time-series dense encoder A Das, W Kong, A Leach, S Mathur, R Sen, R Yu arXiv preprint arXiv:2304.08424, 2023 | 716 | 2023 |
| A decoder-only foundation model for time-series forecasting A Das, W Kong, R Sen, Y Zhou Forty-first International Conference on Machine Learning, 2024 | 661 | 2024 |
| Submodular meets spectral: Greedy algorithms for subset selection, sparse approximation and dictionary selection A Das, D Kempe ICML 2011, 2011 | 642 | 2011 |
| Algorithms for subset selection in linear regression A Das, D Kempe Proceedings of the fortieth annual ACM symposium on Theory of computing, 45-54, 2008 | 304 | 2008 |
| Modeling opinion dynamics in social networks A Das, S Gollapudi, K Munagala Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 258 | 2014 |
| Approximate submodularity and its applications: Subset selection, sparse approximation and dictionary selection A Das, D Kempe Journal of Machine Learning Research 19 (3), 1-34, 2018 | 132 | 2018 |
| Adaptive agent integration architectures for heterogeneous team members M Tambe, DV Pynadath, N Chauvat, A Das, GA Kaminka Proceedings fourth international conference on multiagent systems, 301-308, 2000 | 111 | 2000 |
| Data acquisition in multiple-sink sensor networks A Das, D Dutta ACM SIGMOBILE Mobile Computing and Communications Review 9 (3), 82-85, 2005 | 97 | 2005 |
| Debiasing social wisdom A Das, S Gollapudi, R Panigrahy, M Salek Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 70 | 2013 |
| Selecting diverse features via spectral regularization A Das, A Dasgupta, R Kumar Advances in neural information processing systems 25, 2012 | 54 | 2012 |
| Development of a salicylic acid inducible minimal sub-genomic transcript promoter from Figwort mosaic virus with enhanced root-and leaf-activity using TGACG motif rearrangement D Kumar, S Patro, J Ghosh, A Das, IB Maiti, N Dey Gene 503 (1), 36-47, 2012 | 52 | 2012 |
| Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising A Ahmed, A Das, AJ Smola Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 51 | 2014 |
| Sensor selection for minimizing worst-case prediction error A Das, D Kempe 2008 International Conference on Information Processing in Sensor Networks …, 2008 | 51 | 2008 |
| Weihao Kong, Rajat Sen, and Yichen Zhou A Das A decoder-only foundation model for time-series forecasting 6, 2024 | 50 | 2024 |
| Intelligent bandwidth allocation for ethernet passive optical networks A Das, C Chen US Patent 7,564,852, 2009 | 50 | 2009 |
| Dynamic balancing for model selection in bandits and rl A Cutkosky, C Dann, A Das, C Gentile, A Pacchiano, M Purohit International Conference on Machine Learning, 2276-2285, 2021 | 45 | 2021 |
| Long-term forecasting with tide: Time-series dense encoder. arXiv 2023 A Das, W Kong, A Leach, S Mathur, R Sen, R Yu arXiv preprint arXiv:2304.08424, 0 | 44 | |
| Interaction of Arabidopsis TGA3 and WRKY53 transcription factors on Cestrum yellow leaf curling virus (CmYLCV) promoter mediates salicylic acid-dependent … S Sarkar, A Das, P Khandagale, IB Maiti, S Chattopadhyay, N Dey Planta 247 (1), 181-199, 2018 | 40 | 2018 |
| Robust pure exploration in linear bandits with limited budget A Alieva, A Cutkosky, A Das International Conference on Machine Learning, 187-195, 2021 | 30 | 2021 |
| Congestion control in an optical line terminal A Das, E Lee, D Dong, D Zhang US Patent 8,913,549, 2014 | 28 | 2014 |
