Ankush Khandelwal

Researcher, University of Minnesota - Twin Cities

Joined

September 2022

Names

Ankush Khandelwal (Preferred)

Emails

****@umn.edu (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

University of Minnesota - Twin Cities (umn.edu)

2019 – Present

PhD student

University of Minnesota - Twin Cities (umn.edu)

2012 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Vipin Kumar

2012 – 2019

Expertise

Deep Learning

Present

Hydrology

Present

Remote Sensing

Present

Publications

Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications
Praveen Ravirathinam, Ankush Khandelwal, Rahul Ghosh, Vipin Kumar
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Entity Aware Modelling: A Survey
Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar
- 2023 (modified: 24 Apr 2023)
- CoRR 2023
- Readers: Everyone
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology
Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar
- 2022 (modified: 25 Jan 2023)
- KDD 2022
- Readers: Everyone
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets
Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar
- 2022 (modified: 24 Apr 2023)
- CoRR 2022
- Readers: Everyone
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications
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 (modified: 24 Apr 2023)
- CoRR 2022
- Readers: Everyone
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
- 2021 (modified: 15 Sept 2021)
- CoRR 2021
- Readers: Everyone
Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics
Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Neiber, Chris Duffy, Vipin Kumar
- 2021 (modified: 30 Mar 2022)
- CoRR 2021
- Readers: Everyone
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
- 2021 (modified: 30 Mar 2022)
- IEEE BigData 2021
- Readers: Everyone
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making
Yolanda Gil, Daniel Garijo, Deborah Khider, Craig A. Knoblock, Varun Ratnakar, Maximiliano Osorio, Hernán Vargas, Minh Pham, Jay Pujara, Basel Shbita, Binh Vu, Yao-Yi Chiang, Dan Feldman, Yijun Lin, Hayley Song, Vipin Kumar, Ankush Khandelwal, Michael S. Steinbach, Kshitij Tayal, Shaoming Xu et al. (15 additional authors not shown)
- 2021 (modified: 05 Feb 2023)
- ACM Trans. Interact. Intell. Syst. 2021
- Readers: Everyone
Automated Plantation Mapping in Southeast Asia Using MODIS Data and Imperfect Visual Annotations
Xiaowei Jia, Ankush Khandelwal, Kimberly Carlson, James Gerber, Paul C. West, Leah H. Samberg, Vipin Kumar
- 2020 (modified: 17 May 2023)
- Remote. Sens. 2020
- Readers: Everyone

View all 40 publications

Co-Authors

View all 83 co-authors