Arvind Renganathan

According to our database, Arvind Renganathan authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction.

Kshitij Tayal, Arvind Renganathan, Xiaowei Jia, Vipin Kumar, Dan Lu

CoRR, 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

CoRR, 2024

Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling.

Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar

Proceedings of the 2024 SIAM International Conference on Data Mining, 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

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

2023

Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems.

Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar

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

CoRR, 2023

Entity Aware Modelling: A Survey.

Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar

CoRR, 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

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling.

Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

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

CoRR, 2021