Arvind Renganathan

19 papers A* 3A 4Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CarbonBench: A Global Benchmark for Upscaling of Carbon Fluxes Using Zero-Shot Learning. CoRR Aleksei Rozanov, Arvind Renganathan, Yimeng Zhang, Vipin Kumar
2026	J	`jnl`	Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes. CoRR Aleksei Rozanov, Arvind Renganathan, Vipin Kumar
2025	A	`conf`	Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems. SDM Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar
2024	A*	`conf`	ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction. ICDM Kshitij Tayal, Arvind Renganathan, Xiaowei Jia, Vipin Kumar, Dan Lu
2024	J	`jnl`	ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction. CoRR Kshitij Tayal, Arvind Renganathan, Xiaowei Jia, Vipin Kumar, Dan Lu
2024	J	`jnl`	Hierarchical Conditional Multi-Task Learning for Streamflow Modeling. CoRR Shaoming Xu, Arvind Renganathan, Ankush Khandelwal, Rahul Ghosh, Xiang Li, Licheng Liu, Kshitij Tayal, Peter Harrington, Xiaowei Jia, Zhenong Jin, John Nieber, Vipin Kumar
2024	J	`jnl`	Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems. CoRR Rahul Ghosh, Zac McEachran, Arvind Renganathan, Kelly Lindsay, Somya Sharma Chatterjee, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar
2024	A	`conf`	Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. SDM Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar
2024	A	`conf`	Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. SDM Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar
2023	J	`jnl`	Entity Aware Modelling: A Survey. CoRR Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar
2023	A*	`conf`	Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. ICDM Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
2023	J	`jnl`	Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. CoRR Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
2023	J	`jnl`	Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. CoRR Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar
2023	A	`conf`	Probabilistic Inverse Modeling: An Application in Hydrology. SDM Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
2023	J	`jnl`	Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems. CoRR Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar
2023	J	`jnl`	Uncertainty Quantification in Inverse Models in Hydrology. CoRR Somya Sharma Chatterjee, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
2022	J	`jnl`	Probabilistic Inverse Modeling: An Application in Hydrology. CoRR Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
2022	A*	`conf`	Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. KDD Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar
2021	J	`jnl`	Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. CoRR Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Nieber, Christopher J. Duffy, Vipin Kumar