Arvind Renganathan

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Variational Inference

Constructivist Learning Environments

Temporal Characteristics

Top Venues

Publications

Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar
Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. SDM (2024)
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 (2024)
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)
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)
Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. CoRR (2023)
Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar
Entity Aware Modelling: A Survey. CoRR (2023)
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 (2023)
Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. ICDM (2023)
Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar
Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems. CoRR (2023)
Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar
Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. CoRR (2023)
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)
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 (2022)
Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Neiber, Chris Duffy, Vipin Kumar
Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. CoRR (2021)