Dipankar Dwivedi

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 8

Top Topics

Congestion Control

Machine Learning

Top Venues

Future Gener. Comput. Syst.

Environ. Model. Softw.

Publications

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 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 (2023)
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) (2022)
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 (2021)
Anna Giannakou, Dipankar Dwivedi, Sean Peisert
A machine learning approach for packet loss prediction in science flows. Future Gener. Comput. Syst. 102 (2020)
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 (2019)
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)
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 (2016)
Dipankar Dwivedi, Binayak P. Mohanty
Hot Spots and Persistence of Nitrate in Aquifers Across Scales. Entropy 18 (1) (2016)