Hoshin V. Gupta

According to our database, Hoshin V. Gupta authored at least 20 papers between 1997 and 2025.

Collaborative distances:

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

2025

An R package to partition observation data used for model development and evaluation to achieve model generalizability.

Yiran Ji, Feifei Zheng, Jinhua Wen, Qifeng Li, Junyi Chen, Holger R. Maier, Hoshin V. Gupta

Environ. Model. Softw., 2025

2024

On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data.

Manuel Álvarez Chaves, Hoshin V. Gupta, Uwe Ehret, Anneli Guthke

Entropy, May, 2024

Using Machine Learning to Discover Parsimonious and Physically-Interpretable Representations of Catchment-Scale Rainfall-Runoff Dynamics.

Yuan-Heng Wang, Hoshin V. Gupta

CoRR, 2024

Towards Interpretable Physical-Conceptual Catchment-Scale Hydrological Modeling using the Mass-Conserving-Perceptron.

Yuan-Heng Wang, Hoshin V. Gupta

CoRR, 2024

2023

On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization.

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

Environ. Model. Softw., September, 2023

A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems.

Yuan-Heng Wang, Hoshin V. Gupta

CoRR, 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

NowCasting-Nets: Representation Learning to Mitigate Latency Gap of Satellite Precipitation Products Using Convolutional and Recurrent Neural Networks.

Mohammad Reza Ehsani, Ariyan Zarei, Hoshin Vijai Gupta, Kobus Barnard, Eric Lyons, Ali Behrangi

IEEE Trans. Geosci. Remote. Sens., 2022

2021

How certain are our uncertainty bounds? Accounting for sample variability in Monte Carlo-based uncertainty estimates.

Tirthankar Roy, Hoshin V. Gupta

Environ. Model. Softw., 2021

The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support.

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

Environ. Model. Softw., 2021

Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples.

Hoshin V. Gupta, Mohammed Reza Ehsani, Tirthankar Roy, Maria A. Sans-Fuentes, Uwe Ehret, Ali Behrangi

Entropy, 2021

Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG.

Mohammad Reza Ehsani, Ariyan Zarei, Hoshin V. Gupta, Kobus Barnard, Ali Behrangi

CoRR, 2021

2019

Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost.

Razi Sheikholeslami, Saman Razavi, Hoshin V. Gupta, William Becker, Amin Haghnegahdar

Environ. Model. Softw., 2019

VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis.

Saman Razavi, Razi Sheikholeslami, Hoshin V. Gupta, Amin Haghnegahdar

Environ. Model. Softw., 2019

A multi-method Generalized Global Sensitivity Matrix approach to accounting for the dynamical nature of earth and environmental systems models.

Saman Razavi, Hoshin V. Gupta

Environ. Model. Softw., 2019

2011

Scenario development for water resources planning and watershed management: Methodology and semi-arid region case study.

Mohammed Mahmoud, Hoshin V. Gupta, Seshadri Rajagopal

Environ. Model. Softw., 2011

2009

A formal framework for scenario development in support of environmental decision-making.

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

Environ. Model. Softw., 2009

2008

Linking science with environmental decision making: Experiences from an integrated modeling approach to supporting sustainable water resources management.

Yuqiong Liu, Hoshin V. Gupta, Everett Springer, Thorsten Wagener

Environ. Model. Softw., 2008

2007

WaterNet the NASA water cycle solutions network.

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

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

1997

Superior training of artificial neural networks using weight-space partitioning.

Hoshin V. Gupta, Kuo-lin Hsu, Soroosh Sorooshian

Proceedings of International Conference on Neural Networks (ICNN'97), 1997