| Theory-guided data science: A new paradigm for scientific discovery from data A Karpatne, G Atluri, JH Faghmous, M Steinbach, A Banerjee, A Ganguly, ... IEEE Transactions on knowledge and data engineering 29 (10), 2318-2331, 2017 | 1783 | 2017 |
| Physics-guided neural networks (pgnn): An application in lake temperature modeling A Daw, A Karpatne, WD Watkins, JS Read, V Kumar Knowledge guided machine learning, 353-372, 2022 | 1061 | 2022 |
| Machine learning for the geosciences: Challenges and opportunities A Karpatne, I Ebert-Uphoff, S Ravela, HA Babaie, V Kumar IEEE Transactions on Knowledge and Data Engineering 31 (8), 1544-1554, 2018 | 752 | 2018 |
| Spatio-temporal data mining: A survey of problems and methods G Atluri, A Karpatne, V Kumar ACM Computing Surveys (CSUR) 51 (4), 1-41, 2018 | 692 | 2018 |
| Process‐guided deep learning predictions of lake water temperature JS Read, X Jia, J Willard, AP Appling, JA Zwart, SK Oliver, A Karpatne, ... Water Resources Research 55 (11), 9173-9190, 2019 | 416 | 2019 |
| Physics-guided machine learning for scientific discovery: An application in simulating lake temperature profiles X Jia, J Willard, A Karpatne, JS Read, JA Zwart, M Steinbach, V Kumar ACM/IMS Transactions on Data Science 2 (3), 1-26, 2021 | 371 | 2021 |
| Physics guided RNNs for modeling dynamical systems: A case study in simulating lake temperature profiles X Jia, J Willard, A Karpatne, J Read, J Zwart, M Steinbach, V Kumar Proceedings of the 2019 SIAM international conference on data mining, 558-566, 2019 | 353 | 2019 |
| Incorporating prior domain knowledge into deep neural networks N Muralidhar, MR Islam, M Marwah, A Karpatne, N Ramakrishnan 2018 IEEE international conference on big data (big data), 36-45, 2018 | 261 | 2018 |
| Mitigating propagation failures in physics-informed neural networks using retain-resample-release (r3) sampling A Daw, J Bu, S Wang, P Perdikaris, A Karpatne arXiv preprint arXiv:2207.02338, 2022 | 241* | 2022 |
| BHPMF–a hierarchical B ayesian approach to gap‐filling and trait prediction for macroecology and functional biogeography F Schrodt, J Kattge, H Shan, F Fazayeli, J Joswig, A Banerjee, ... Global Ecology and Biogeography 24 (12), 1510-1521, 2015 | 221 | 2015 |
| Physics-guided architecture (pga) of neural networks for quantifying uncertainty in lake temperature modeling A Daw, RQ Thomas, CC Carey, JS Read, AP Appling, A Karpatne Proceedings of the 2020 siam international conference on data mining, 532-540, 2020 | 219 | 2020 |
| An approach for global monitoring of surface water extent variations in reservoirs using MODIS data A Khandelwal, A Karpatne, ME Marlier, J Kim, DP Lettenmaier, V Kumar Remote sensing of Environment 202, 113-128, 2017 | 208 | 2017 |
| Monitoring land-cover changes: A machine-learning perspective A Karpatne, Z Jiang, RR Vatsavai, S Shekhar, V Kumar IEEE Geoscience and Remote Sensing Magazine 4 (2), 8-21, 2016 | 126 | 2016 |
| Predicting lake surface water phosphorus dynamics using process-guided machine learning PC Hanson, AB Stillman, X Jia, A Karpatne, HA Dugan, CC Carey, ... Ecological Modelling 430, 109136, 2020 | 118 | 2020 |
| Global monitoring of inland water dynamics: State-of-the-art, challenges, and opportunities A Karpatne, A Khandelwal, X Chen, V Mithal, J Faghmous, V Kumar Computational sustainability, 121-147, 2016 | 118 | 2016 |
| Knowledge guided machine learning: Accelerating discovery using scientific knowledge and data A Karpatne, R Kannan, V Kumar CRC Press, 2022 | 112 | 2022 |
| A data-driven approach to full-field nonlinear stress distribution and failure pattern prediction in composites using deep learning R Sepasdar, A Karpatne, M Shakiba Computer Methods in Applied Mechanics and Engineering 397, 115126, 2022 | 92 | 2022 |
| Quadratic residual networks: A new class of neural networks for solving forward and inverse problems in physics involving pdes J Bu, A Karpatne Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 89 | 2021 |
| Exploratory analysis of machine learning methods in predicting subsurface temperature and geothermal gradient of Northeastern United States A Shahdi, S Lee, A Karpatne, B Nojabaei Geothermal Energy 9 (1), 18, 2021 | 85 | 2021 |
| Phynet: Physics guided neural networks for particle drag force prediction in assembly N Muralidhar, J Bu, Z Cao, L He, N Ramakrishnan, D Tafti, A Karpatne Proceedings of the 2020 SIAM international conference on data mining, 559-567, 2020 | 81 | 2020 |
Vipin KumarUniversity of MinnesotaVerified email at umn.edu
