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ORCIDHoshin V. Gupta
Person information
- affiliation: University of Arizona, Tucson, AZ, USA
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2020 – today
- 2025
[j13]Yiran Ji, Feifei Zheng, Jinhua Wen, Qifeng Li, Junyi Chen, Holger R. Maier, Hoshin V. Gupta:
An R package to partition observation data used for model development and evaluation to achieve model generalizability. Environ. Model. Softw. 183: 106238 (2025)- 2024
- [j12]Manuel Álvarez Chaves
, Hoshin V. Gupta, Uwe Ehret, Anneli Guthke:
On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data. Entropy 26(5): 387 (2024) - [i5]Yuan-Heng Wang, Hoshin V. Gupta:
Towards Interpretable Physical-Conceptual Catchment-Scale Hydrological Modeling using the Mass-Conserving-Perceptron. CoRR abs/2401.14521 (2024) - 2023
- [j11]Holger R. Maier, Feifei Zheng, Hoshin V. Gupta, Junyi Chen, Juliane Mai, Dragan A. Savic, Ralf Loritz, Wenyan Wu, Danlu Guo, Andrew Bennett, Anthony J. Jakeman, Saman Razavi, Jianshi Zhao:
On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization. Environ. Model. Softw. 167: 105779 (2023) - [i4]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) - [i3]Yuan-Heng Wang, Hoshin V. Gupta:
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems. CoRR abs/2310.08644 (2023) - 2022
- [j10]Mohammad Reza Ehsani, Ariyan Zarei, Hoshin Vijai Gupta, Kobus Barnard, Eric Lyons, Ali Behrangi:
NowCasting-Nets: Representation Learning to Mitigate Latency Gap of Satellite Precipitation Products Using Convolutional and Recurrent Neural Networks. IEEE Trans. Geosci. Remote. Sens. 60: 1-21 (2022) - 2021
- [j9]Hoshin V. Gupta, Mohammed Reza Ehsani, Tirthankar Roy, Maria A. Sans-Fuentes, Uwe Ehret, Ali Behrangi:
Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples. Entropy 23(6): 740 (2021) - [j8]Tirthankar Roy, Hoshin V. Gupta:
How certain are our uncertainty bounds? Accounting for sample variability in Monte Carlo-based uncertainty estimates. Environ. Model. Softw. 136: 104931 (2021) - [j7]Saman Razavi, Anthony J. Jakeman, Andrea Saltelli, Clémentine Prieur, Bertrand Iooss, Emanuele Borgonovo, Elmar Plischke, Samuele Lo Piano, Takuya Iwanaga, William E. Becker, Stefano Tarantola, Joseph H. A. Guillaume, John D. Jakeman, Hoshin V. Gupta, Nicola Melillo, Giovanni Rabitti, Vincent Chabridon, Qingyun Duan, Holger R. Maier:
The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support. Environ. Model. Softw. 137: 104954 (2021) - [i2]Hoshin V. Gupta, Mohammed Reza Ehsani, Tirthankar Roy, Maria A. Sans-Fuentes, Uwe Ehret, Ali Behrangi:
Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples. CoRR abs/2102.12675 (2021) - [i1]Mohammad Reza Ehsani, Ariyan Zarei, Hoshin V. Gupta, Kobus Barnard, Ali Behrangi:
Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG. CoRR abs/2108.06868 (2021)
2010 – 2019
- 2019
- [j6]Razi Sheikholeslami, Saman Razavi, Hoshin V. Gupta, William Becker, Amin Haghnegahdar:
Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost. Environ. Model. Softw. 111: 282-299 (2019) - [j5]Saman Razavi, Razi Sheikholeslami, Hoshin V. Gupta, Amin Haghnegahdar:
VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis. Environ. Model. Softw. 112: 95-107 (2019) - [j4]Saman Razavi, Hoshin V. Gupta:
A multi-method Generalized Global Sensitivity Matrix approach to accounting for the dynamical nature of earth and environmental systems models. Environ. Model. Softw. 114: 1-11 (2019) - 2011
- [j3]Mohammed Mahmoud, Hoshin V. Gupta, Seshadri Rajagopal:
Scenario development for water resources planning and watershed management: Methodology and semi-arid region case study. Environ. Model. Softw. 26(7): 873-885 (2011)
2000 – 2009
- 2009
- [j2]Mohammed Mahmoud, Yuqiong Liu, Holly Hartmann, Steven Stewart, Thorsten Wagener, Darius J. Semmens, Robert N. Stewart, Hoshin V. Gupta, Damian Dominguez, Francina Dominguez, David W. Hulse, Rebecca A. Letcher, Brenda Rashleigh, Court Smith, Roger Street, Jenifer L. Ticehurst, Mark J. Twery, Hedwig van Delden, Ruth Waldick, Denis White:
A formal framework for scenario development in support of environmental decision-making. Environ. Model. Softw. 24(7): 798-808 (2009) - 2008
- [j1]Yuqiong Liu, Hoshin V. Gupta, Everett Springer, Thorsten Wagener:
Linking science with environmental decision making: Experiences from an integrated modeling approach to supporting sustainable water resources management. Environ. Model. Softw. 23(7): 846-858 (2008) - 2007
- [c2]Paul R. Houser, Deborah R. Belvedere, W. Pozzi, C. Schlosser, B. Imam, Hoshin V. Gupta, R. Schiffer, Claire Welty, R. Lawford, Charles Vorosmarty, Dave Matthews:
WaterNet the NASA water cycle solutions network. IGARSS 2007: 2462-2464
1990 – 1999
- 1997
- [c1]Hoshin V. Gupta, Kuo-lin Hsu, Soroosh Sorooshian:
Superior training of artificial neural networks using weight-space partitioning. ICNN 1997: 1919-1923
Coauthor Index
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