John Nieber

11 papers A* 2A 2Journal 7
YearRankTypeTitle / Venue / Authors
2025 A* conf
Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems.
ICDM
Rahul Ghosh, Arvind Renganthan, Zac McEachran, Kelly Lindsay, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar
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
2023 A conf
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications.
SDM
Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, 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
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
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications.
CoRR
Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, 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
2020 J jnl
Physics Guided Machine Learning Methods for Hydrology.
CoRR
Ankush Khandelwal, Shaoming Xu, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar