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Dipankar Dwivedi
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2020 – today
- 2024
- [i4]Chuyang Liu, Tirthankar Roy, Daniel M. Tartakovsky, Dipankar Dwivedi:
Baseflow identification via explainable AI with Kolmogorov-Arnold networks. CoRR abs/2410.11587 (2024) - [i3]Su Jiang, Chuyang Liu, Dipankar Dwivedi:
GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction. CoRR abs/2410.20118 (2024) - 2023
- [i2]Chaopeng Shen, Alison P. Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin V. Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li, Xiaofeng Liu, Wei Ren, Yi Zheng, Ciaran J. Harman, Martyn Clark, Matthew W. Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Hylke E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Höge, Chris Rackauckas, Tirthankar Roy, Chonggang Xu, Kathryn Lawson:
Differentiable modeling to unify machine learning and physical models and advance Geosciences. CoRR abs/2301.04027 (2023) - 2022
- [j6]Maegen B. Simmonds, William J. Riley, Deborah A. Agarwal, Xingyuan Chen, Shreyas Cholia, Robert Crystal-Ornelas, Ethan T. Coon, Dipankar Dwivedi, Valerie C. Hendrix, Maoyi Huang, Ahmad Jan, Zarine Kakalia, Jitendra Kumar, Charles D. Koven, Li Li, Mario Melara, Lavanya Ramakrishnan, Daniel M. Ricciuto, Anthony P. Walker, Wei Zhi, Qing Zhu, Charuleka Varadharajan:
Guidelines for Publicly Archiving Terrestrial Model Data to Enhance Usability, Intercomparison, and Synthesis. Data Sci. J. 21(1): 3 (2022) - 2021
- [i1]Luca Pion-Tonachini, Kristofer E. Bouchard, Héctor García Martín, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko M. Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel B. Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus H. Zwart, Neeraj Kumar, Amy Justice, Claire J. Tomlin, Daniel A. Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Kenneth Kreutz-Delgado, Michael W. Mahoney, James B. Brown:
Learning from learning machines: a new generation of AI technology to meet the needs of science. CoRR abs/2111.13786 (2021) - 2020
- [j5]Anna Giannakou, Dipankar Dwivedi, Sean Peisert:
A machine learning approach for packet loss prediction in science flows. Future Gener. Comput. Syst. 102: 190-197 (2020)
2010 – 2019
- 2019
- [j4]Charuleka Varadharajan, Boris Faybishenko, Amanda Henderson, Matthew Henderson, Valerie C. Hendrix, Susan S. Hubbard, Zarine Kakalia, Alexander Newman, Benjamin Potter, Heidi Steltzer, Roelof Versteeg, Deborah A. Agarwal, Kenneth H. Williams, Chelsea Wilmer, Yuxin Wu, Wendy Brown, Madison Burrus, Rosemary W. H. Carroll, Danielle S. Christianson, Baptiste Dafflon, Dipankar Dwivedi, Brian J. Enquist:
Challenges in Building an End-to-End System for Acquisition, Management, and Integration of Diverse Data From Sensor Networks in Watersheds: Lessons From a Mountainous Community Observatory in East River, Colorado. IEEE Access 7: 182796-182813 (2019) - [j3]Melissa Stockman, Dipankar Dwivedi, Reinhard Gentz, Sean Peisert:
Detecting control system misbehavior by fingerprinting programmable logic controller functionality. Int. J. Crit. Infrastructure Prot. 26 (2019) - 2016
- [j2]Dipankar Dwivedi, Binayak P. Mohanty:
Hot Spots and Persistence of Nitrate in Aquifers Across Scales. Entropy 18(1): 25 (2016) - [j1]Bhavna Arora, Dipankar Dwivedi, Susan S. Hubbard, Carl I. Steefel, Kenneth H. Williams:
Identifying geochemical hot moments and their controls on a contaminated river floodplain system using wavelet and entropy approaches. Environ. Model. Softw. 85: 27-41 (2016)
Coauthor Index
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last updated on 2024-11-30 00:09 CET by the dblp team
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