| 2025 | SDM | Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems. | Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar |
| 2024 | ICDM | ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction. | Kshitij Tayal, Arvind Renganathan, Xiaowei Jia, Vipin Kumar, Dan Lu |
| 2024 | SDM | Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. | Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar |
| 2024 | SDM | Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. | Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar |
| 2023 | ICDM | Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. | Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar |
| 2023 | SDM | Probabilistic Inverse Modeling: An Application in Hydrology. | Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar |
| 2022 | KDD | Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. | Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar |