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2020 – today
- 2024
[c5]Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar:
Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. SDM 2024: 307-315- [c4]Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach
, Christopher J. Duffy, Vipin Kumar:
Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. SDM 2024: 334-342 - [i8]Rahul Ghosh, Zac McEachran, Arvind Renganathan, Kelly Lindsay, Somya Sharma Chatterjee, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar:
Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems. CoRR abs/2407.20152 (2024) - 2023
- [c3]Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar:
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. ICDM 2023: 588-597 - [c2]Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar:
Probabilistic Inverse Modeling: An Application in Hydrology. SDM 2023: 847-855 - [i7]Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar:
Entity Aware Modelling: A Survey. CoRR abs/2302.08406 (2023) - [i6]Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar:
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. CoRR abs/2309.10291 (2023) - [i5]Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar:
Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. CoRR abs/2309.16882 (2023) - [i4]Somya Sharma Chatterjee, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar:
Uncertainty Quantification in Inverse Models in Hydrology. CoRR abs/2310.02193 (2023) - [i3]Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar:
Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems. CoRR abs/2310.04727 (2023) - 2022
- [c1]Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar:
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. KDD 2022: 465-474 - [i2]Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar:
Probabilistic Inverse Modeling: An Application in Hydrology. CoRR abs/2210.06213 (2022) - 2021
- [i1]Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Nieber, Christopher J. Duffy, Vipin Kumar:
Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. CoRR abs/2109.06429 (2021)
Coauthor Index
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