Artificial intelligence for modeling complex systems: taming the complexity of expert models to improve decision making Y Gil, D Garijo, D Khider, CA Knoblock, V Ratnakar, M Osorio, H Vargas, ... ACM Transactions on Interactive Intelligent Systems 11 (2), 1-49, 2021 | 32 | 2021 |
Cognitive-biometric recognition from language usage: A feasibility study N Pokhriyal, K Tayal, I Nwogu, V Govindaraju IEEE Transactions on Information Forensics and Security 12 (1), 134-143, 2016 | 32 | 2016 |
Sequence alignment on directed graphs VNS Kavya, K Tayal, R Srinivasan, N Sivadasan Journal of Computational Biology 26 (1), 53-67, 2019 | 29 | 2019 |
Regionalization in a global hydrologic deep learning model: from physical descriptors to random vectors X Li, A Khandelwal, X Jia, K Cutler, R Ghosh, A Renganathan, S Xu, ... Water Resources Research 58 (8), e2021WR031794, 2022 | 22 | 2022 |
Short Text Classification using Graph Convolutional Network K Tayal, N Rao, S Agrawal, K Subbian NIPS workshop on Graph Representation Learning, 2019 | 19 | 2019 |
Robust inverse framework using knowledge-guided self-supervised learning: An application to hydrology R Ghosh, A Renganathan, K Tayal, X Li, A Khandelwal, X Jia, C Duffy, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 18 | 2022 |
End-to-End Learning for Phase Retrieval R Manekar, K Tayal, V Kumar, J Sun ICML workshop on ML Interpretability for Scientific Discovery, 2020 | 18 | 2020 |
Inverse Problems, Deep Learning, and Symmetry Breaking K Tayal, CH Lai, V Kumar, J Sun arXiv preprint arXiv:2003.09077, 2020 | 16 | 2020 |
Inverse Problems, Deep Learning, and Symmetry Breaking K Tayal, CH Lai, M Raunak, V Kumar, J Sun ICML workshop on ML Interpretability for Scientific Discovery, 2020 | 16 | 2020 |
Particle swarm optimization trained class association rule mining: Application to phishing detection K Tayal, V Ravi Proceedings of the International Conference on Informatics and Analytics, 1-8, 2016 | 15 | 2016 |
Deep learning initialized phase retrieval R Manekar, Z Zhuang, K Tayal, V Kumar, J Sun NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, 2020 | 14 | 2020 |
Fuzzy association rule mining using binary particle swarm optimization: Application to cyber fraud analytics K Tayal, V Ravi 2015 IEEE International Conference on Computational Intelligence and …, 2015 | 13 | 2015 |
Regularized graph convolutional networks for short text classification K Tayal, N Rao, S Agarwal, X Jia, K Subbian, V Kumar Proceedings of the 28th International Conference on Computational …, 2020 | 11 | 2020 |
Unlocking inverse problems using deep learning: Breaking symmetries in phase retrieval K Tayal, CH Lai, R Manekar, Z Zhuang, V Kumar, J Sun NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, 2020 | 9 | 2020 |
Invertibility aware integration of static and time-series data: An application to lake temperature modeling K Tayal, X Jia, R Ghosh, J Willard, J Read, V Kumar Proceedings of the 2022 SIAM international conference on data mining (SDM …, 2022 | 8 | 2022 |
Model-agnostic methods for text classification with inherent noise K Tayal, R Ghosh, V Kumar Proceedings of the 28th international conference on computational …, 2020 | 8 | 2020 |
Meta-transfer learning: An application to streamflow modeling in river-streams R Ghosh, B Li, K Tayal, V Kumar, X Jia 2022 IEEE International Conference on Data Mining (ICDM), 161-170, 2022 | 6 | 2022 |
Phase retrieval using single-instance deep generative prior K Tayal, R Manekar, Z Zhuang, D Yang, V Kumar, F Hofmann, J Sun Optics and Photonics for Sensing the Environment, JW2A. 37, 2021 | 4 | 2021 |
An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models D Garijo, D Khider, V Ratnakar, Y Gil, E Deelman, RF Da Silva, ... Proceedings of the 24th International Conference on Intelligent User …, 2019 | 4 | 2019 |
Sequence alignment on directed graphs K Vaddadi, N Sivadasan, K Tayal, R Srinivasan bioRxiv, 124941, 2017 | 4 | 2017 |