Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. - Rahul Ghosh; Arvind Renganathan; Ankush Khandelwal; Xiaowei Jia; Xiang Li; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (CoRR, 2021)

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 001 (KDD, 2022)

Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. - Kshitij Tayal; Arvind Renganathan; Rahul Ghosh; Xiaowei Jia; Vipin Kumar 001 (ICDM, 2023)

Probabilistic Inverse Modeling: An Application in Hydrology. - Somya Sharma; Rahul Ghosh; Arvind Renganathan; Xiang Li; Snigdhansu Chatterjee; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (SDM, 2023)

Entity Aware Modelling: A Survey. - Rahul Ghosh; Haoyu Yang; Ankush Khandelwal; Erhu He; Arvind Renganathan; Somya Sharma; Xiaowei Jia; Vipin Kumar 001 (CoRR, 2023)

Uncertainty Quantification in Inverse Models in Hydrology. - Somya Sharma Chatterjee; Rahul Ghosh; Arvind Renganathan; Xiang Li; Snigdhansu Chatterjee; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (CoRR, 2023)

Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems. - Arvind Renganathan; Rahul Ghosh; Ankush Khandelwal; Vipin Kumar 001 (CoRR, 2023)

ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction. - Kshitij Tayal; Arvind Renganathan; Xiaowei Jia; Vipin Kumar 001; Dan Lu (ICDM, 2024)

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 001 (SDM, 2024)

Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. - Shaoming Xu; Ankush Khandelwal; Arvind Renganathan; Vipin Kumar 001 (SDM, 2024)

Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems. - Rahul Ghosh; Zac McEachran; Arvind Renganathan; Kelly Lindsay; Somya Sharma Chatterjee; Michael S. Steinbach; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (CoRR, 2024)

Hierarchical Conditional Multi-Task Learning for Streamflow Modeling. - Shaoming Xu; Arvind Renganathan; Ankush Khandelwal; Rahul Ghosh; Xiang Li; Licheng Liu; Kshitij Tayal; Peter Harrington; Xiaowei Jia; Zhenong Jin; John Nieber; Vipin Kumar 001 (CoRR, 2024)

Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems. - Arvind Renganathan; Rahul Ghosh; Ankush Khandelwal; Vipin Kumar 001 (SDM, 2025)