Anuj Karpatne

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

Anuj Karpatne, Gowtham Atluri, James H. Faghmous et al. · IEEE Transactions on Knowledge and Data Engineering · 2017 · 1.5K citations · Full text

Computing, Data Science, Hydrology +17

Process‐Guided Deep Learning Predictions of Lake Water Temperature

Jordan S. Read, Xiaowei Jia, Jared Willard et al. · Water Resources Research · 2019 · 427 citations · Full text

Computing, Computer Science, Water Resources Management +15

Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling

Arka Daw, Anuj Karpatne, William J. Watkins et al. · arXiv (Cornell University) · 2017 · 316 citations · Full text

Computing, Computer Science, Physics +17

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles

Xiaowei Jia, Jared Willard, Anuj Karpatne et al. · ACM/IMS Transactions on Data Science · 2021 · 287 citations · Full text

Computing, Computer Science, Physics +14

<scp>BHPMF</scp> – a hierarchical <scp>B</scp>ayesian approach to gap‐filling and trait prediction for macroecology and functional biogeography

Franziska Schrodt, Jens Kattge, Hanhuai Shan et al. · Global Ecology and Biogeography · 2015 · 201 citations · Full text

Life Sciences, Biology, Ecology +14