Dipankar Dwivedi

According to our database, Dipankar Dwivedi authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction.

Su Jiang, Chuyang Liu, Dipankar Dwivedi

CoRR, 2024

Baseflow identification via explainable AI with Kolmogorov-Arnold networks.

Chuyang Liu, Tirthankar Roy, Daniel M. Tartakovsky, Dipankar Dwivedi

CoRR, 2024

2023

Differentiable modeling to unify machine learning and physical models and advance Geosciences.

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

CoRR, 2023

2022

Guidelines for Publicly Archiving Terrestrial Model Data to Enhance Usability, Intercomparison, and Synthesis.

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

Data Sci. J., 2022

2021

Learning from learning machines: a new generation of AI technology to meet the needs of science.

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

CoRR, 2021

2020

A machine learning approach for packet loss prediction in science flows.

Anna Giannakou, Dipankar Dwivedi, Sean Peisert

Future Gener. Comput. Syst., 2020

2019

Detecting control system misbehavior by fingerprinting programmable logic controller functionality.

Melissa Stockman, Dipankar Dwivedi, Reinhard Gentz, Sean Peisert

Int. J. Crit. Infrastructure Prot., 2019

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.

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

IEEE Access, 2019

2016

Identifying geochemical hot moments and their controls on a contaminated river floodplain system using wavelet and entropy approaches.

Bhavna Arora, Dipankar Dwivedi, Susan S. Hubbard, Carl I. Steefel, Kenneth H. Williams

Environ. Model. Softw., 2016

Hot Spots and Persistence of Nitrate in Aquifers Across Scales.

Dipankar Dwivedi, Binayak P. Mohanty

Entropy, 2016