Hoshin V. Gupta

24 papers C 1Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
On generalization, language, interpretability and the future of geo-scientific machine learning.
Environ. Model. Softw.
Hoshin V. Gupta
2026 J jnl
Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints.
CoRR
Mohammad A. Farmani, Hoshin V. Gupta, Ali Behrangi, Muhammad Jawad, Sadaf Moghisi, Guo-Yue Niu
2025 J jnl
An R package to partition observation data used for model development and evaluation to achieve model generalizability.
Environ. Model. Softw.
Yiran Ji, Feifei Zheng, Jinhua Wen, Qifeng Li, Junyi Chen, Holger R. Maier, Hoshin V. Gupta
2025 J jnl
KAN-Matrix: Visualizing Nonlinear Pairwise and Multivariate Contributions for Physical Insight.
CoRR
Luis A. de la Fuente, Hernan A. Moreno, Laura V. Alvarez, Hoshin V. Gupta
2025 J jnl
Towards CONUS-Wide ML-Augmented Conceptually-Interpretable Modeling of Catchment-Scale Precipitation-Storage-Runoff Dynamics.
CoRR
Yuan-Heng Wang, Yang Yang, Fabio Ciulla, Hoshin V. Gupta, Charuleka Varadharajan
2024 J jnl
On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data.
Entropy
Manuel Álvarez Chaves, Hoshin V. Gupta, Uwe Ehret, Anneli Guthke
2024 J jnl
Towards Interpretable Physical-Conceptual Catchment-Scale Hydrological Modeling using the Mass-Conserving-Perceptron.
CoRR
Yuan-Heng Wang, Hoshin V. Gupta
2024 J jnl
Using Machine Learning to Discover Parsimonious and Physically-Interpretable Representations of Catchment-Scale Rainfall-Runoff Dynamics.
CoRR
Yuan-Heng Wang, Hoshin V. Gupta
2023 J jnl
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems.
CoRR
Yuan-Heng Wang, Hoshin V. Gupta
2023 J jnl
Differentiable modeling to unify machine learning and physical models and advance Geosciences.
CoRR
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 P. 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
2023 J jnl
On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization.
Environ. Model. Softw.
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
2021 J jnl
Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples.
CoRR
Hoshin V. Gupta, Mohammed Reza Ehsani, Tirthankar Roy, Maria A. Sans-Fuentes, Uwe Ehret, Ali Behrangi
2021 J jnl
Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples.
Entropy
Hoshin V. Gupta, Mohammed Reza Ehsani, Tirthankar Roy, Maria A. Sans-Fuentes, Uwe Ehret, Ali Behrangi
2021 J jnl
How certain are our uncertainty bounds? Accounting for sample variability in Monte Carlo-based uncertainty estimates.
Environ. Model. Softw.
Tirthankar Roy, Hoshin V. Gupta
2021 J jnl
Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG.
CoRR
Mohammad Reza Ehsani, Ariyan Zarei, Hoshin V. Gupta, Kobus Barnard, Ali Behrangi
2021 J jnl
The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support.
Environ. Model. Softw.
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
2019 J jnl
A multi-method Generalized Global Sensitivity Matrix approach to accounting for the dynamical nature of earth and environmental systems models.
Environ. Model. Softw.
Saman Razavi, Hoshin V. Gupta
2019 J jnl
Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost.
Environ. Model. Softw.
Razi Sheikholeslami, Saman Razavi, Hoshin V. Gupta, William Becker, Amin Haghnegahdar
2019 J jnl
VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis.
Environ. Model. Softw.
Saman Razavi, Razi Sheikholeslami, Hoshin V. Gupta, Amin Haghnegahdar
2011 J jnl
Scenario development for water resources planning and watershed management: Methodology and semi-arid region case study.
Environ. Model. Softw.
Mohammed Mahmoud, Hoshin V. Gupta, Seshadri Rajagopal
2009 J jnl
A formal framework for scenario development in support of environmental decision-making.
Environ. Model. Softw.
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
2008 J jnl
Linking science with environmental decision making: Experiences from an integrated modeling approach to supporting sustainable water resources management.
Environ. Model. Softw.
Yuqiong Liu, Hoshin V. Gupta, Everett Springer, Thorsten Wagener
2007 C conf
WaterNet the NASA water cycle solutions network.
IGARSS
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
1997 — conf
Superior training of artificial neural networks using weight-space partitioning.
ICNN
Hoshin V. Gupta, Kuo-lin Hsu, Soroosh Sorooshian