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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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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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Phase Retrieval using Single-Instance Deep Generative Prior


Jun 22, 2021
Kshitij Tayal, Raunak Manekar, Zhong Zhuang, David Yang, Vipin Kumar, Felix Hofmann, Ju Sun


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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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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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Inverse Problems, Deep Learning, and Symmetry Breaking


Mar 20, 2020
Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar, Ju Sun


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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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A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series


Jun 03, 2019
Saurabh Agrawal, Saurabh Verma, Anuj Karpatne, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar

* Accepted at The Thirty-sixth International Conference on Machine Learning (ICML 2019), Time Series Workshop. arXiv admin note: substantial text overlap with arXiv:1802.06095 

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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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Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling


Feb 20, 2018
Anuj Karpatne, William Watkins, Jordan Read, Vipin Kumar

* submitted to ACM SIGKDD 2018 

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Mining Sub-Interval Relationships In Time Series Data


Feb 16, 2018
Saurabh Agrawal, Saurabh Verma, Gowtham Atluri, Anuj Karpatne, Stefan Liess, Angus Macdonald III, Snigdhansu Chatterjee, 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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Spatio-Temporal Data Mining: A Survey of Problems and Methods


Nov 17, 2017
Gowtham Atluri, Anuj Karpatne, Vipin Kumar

* Accepted for publication at ACM Computing Surveys 

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ORBIT: Ordering Based Information Transfer Across Space and Time for Global Surface Water Monitoring


Nov 15, 2017
Ankush Khandelwal, Anuj Karpatne, Vipin Kumar


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Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data


Nov 13, 2017
Anuj Karpatne, Gowtham Atluri, James Faghmous, Michael Steinbach, Arindam Banerjee, Auroop Ganguly, Shashi Shekhar, Nagiza Samatova, Vipin Kumar

* IEEE Transactions on Knowledge and Data Engineering, 29(10), pp.2318-2331. 2017 

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Machine Learning for the Geosciences: Challenges and Opportunities


Nov 13, 2017
Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, Vipin Kumar

* Under review at IEEE Transactions on Knowledge and Data Engineering 

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Causal Inference in Observational Data


Nov 15, 2016
Pranjul Yadav, Lisiane Prunelli, Alexander Hoff, Michael Steinbach, Bonnie Westra, Vipin Kumar, Gyorgy Simon


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Enhancing the functional content of protein interaction networks


Oct 25, 2012
Gaurav Pandey, Sahil Manocha, Gowtham Atluri, Vipin Kumar


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