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Heterogeneous Stream-reservoir Graph Networks with Data Assimilation


Oct 11, 2021
Shengyu Chen, Alison Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan Read, Jeffrey Sadler, Jacob Zwart, Xiaowei Jia


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Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics


Sep 14, 2021
Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Neiber, Chris Duffy, Vipin Kumar

* Submitted to Science-Guided AI, SGAI-AAAI-21 

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Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks


Sep 06, 2021
Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko1, Xiaowei Jia


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Weakly Supervised Classification Using Group-Level Labels


Aug 16, 2021
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Vipin Kumar

* Presented at the DeMaL workshop, KDD'21 

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Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping


Aug 16, 2021
Rahul Ghosh, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar

* 9 Pages, 7 figures, presented at the DeepSpatial workshop at KDD'21 

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CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels


Jul 26, 2021
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David Mulla, Vipin Kumar

* 13 pages; 11 figures 

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Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping


May 02, 2021
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar

* 7 pages 

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Land Cover Mapping in Limited Labels Scenario: A Survey


Mar 03, 2021
Rahul Ghosh, Xiaowei Jia, Vipin Kumar

* 8 pages, 1 figure. Submitted to IJCAI 2021: Survey Track 

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Physics Guided Machine Learning Methods for Hydrology


Dec 02, 2020
Ankush Khandelwal, Shaoming Xu, Xiang Li, Xiaowei Jia, Michael Stienbach, Christopher Duffy, John Nieber, Vipin Kumar


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Teaching deep learning causal effects improves predictive performance


Nov 11, 2020
Jia Li, Xiaowei Jia, Haoyu Yang, Vipin Kumar, Michael Steinbach, Gyorgy Simon

* 9 pages, 8 figures, in the process of SDM 2021 

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Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning


Nov 10, 2020
Jared D. Willard, Jordan S. Read, Alison P. Appling, Samantha K. Oliver, Xiaowei Jia, Vipin Kumar

* 26 pages, 8 figures, Water Resources Research 

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Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks


Oct 27, 2020
Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffery Sadler, Alison Appling, Samantha Oliver, Jordan Read


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Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks


Sep 26, 2020
Xiaowei Jia, Jacob Zwart, Jeffery Sadler, Alison Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael Steinbach, Jordan Read, Vipin Kumar


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Integrating Physics-Based Modeling with Machine Learning: A Survey


Apr 01, 2020
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael Steinbach, Vipin Kumar

* 11 pages, 4 figures, submitted to IJCAI 

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Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles


Jan 28, 2020
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S Read, Jacob A Zwart, Michael Steinbach, Vipin Kumar

* arXiv admin note: text overlap with arXiv:1810.13075 

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Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data


Jan 03, 2020
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar

* To appear in the proceedings of the SIAM International Conference on Data Mining (SDM20) 

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Automated Monitoring Cropland Using Remote Sensing Data: Challenges and Opportunities for Machine Learning


Apr 08, 2019
Xiaowei Jia, Ankush Khandelwal, Vipin Kumar


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Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles


Oct 31, 2018
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan Read, Jacob Zward, Michael Steinbach, Vipin Kumar


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Discovery of Shifting Patterns in Sequence Classification


Dec 19, 2017
Xiaowei Jia, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar


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