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Vipin Kumar

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Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach

Jan 29, 2024
Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David Mulla, Vipin Kumar

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Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems

Oct 07, 2023
Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar

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Uncertainty Quantification in Inverse Models in Hydrology

Oct 03, 2023
Somya Sharma Chatterjee, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher Duffy, Vipin Kumar

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Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management

Oct 02, 2023
Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar

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Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling

Sep 28, 2023
Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar

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Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling

Sep 19, 2023
Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar

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Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources

Aug 18, 2023
Jared D. Willard, Charuleka Varadharajan, Xiaowei Jia, Vipin Kumar

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Reflections from the Workshop on AI-Assisted Decision Making for Conservation

Jul 17, 2023
Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe

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The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence

Jul 09, 2023
Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Christopher K. I. Williams, Jon Rowe, James Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross King

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Bayesian Federated Learning: A Survey

Apr 26, 2023
Longbing Cao, Hui Chen, Xuhui Fan, Joao Gama, Yew-Soon Ong, Vipin Kumar

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