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

27 December 2016

Anuj Karpatne

Papers citing "Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data"

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Title
Field-scale soil moisture estimated from Sentinel-1 SAR data using a knowledge-guided deep learning approach Yi Yu Patrick Filippi Thomas Francis Bishop 27 0 0 01 May 2025
Towards Physics-Guided Foundation Models Majid Farhadloo Arun Sharma Mingzhou Yang B. Jayaprakash W. Northrop Shashi Shekhar AI4CE 48 0 0 20 Feb 2025
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation Chuanqi Chen Nan Chen Yinling Zhang Jin-Long Wu AI4CE 38 2 0 26 Oct 2024
RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models Pritthijit Nath Henry Moss Emily Shuckburgh Mark Webb AI4Cl AI4CE 56 0 0 28 Aug 2024
Hybrid Modeling Design Patterns Maja Rudolph Stefan Kurz Barbara Rakitsch AI4CE 46 8 0 29 Dec 2023
Wave Physics-informed Matrix Factorizations Harsha Vardhan Tetali J. Harley B. Haeffele 46 0 0 21 Dec 2023
Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations Taniya Kapoor Hongrui Wang Alfredo Núñez R. Dollevoet AI4CE PINN 21 15 0 01 Nov 2023
Physics Inspired Hybrid Attention for SAR Target Recognition Zhongling Huang Chong Wu Xiwen Yao Zhicheng Zhao Xiankai Huang Junwei Han 41 21 0 27 Sep 2023
A spectrum of physics-informed Gaussian processes for regression in engineering E. Cross T. Rogers D. J. Pitchforth S. Gibson Matthew R. Jones 26 8 0 19 Sep 2023
Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables Javier Orera-Echeverria J. Ayensa-Jiménez Manuel Doblaré 30 1 0 07 Aug 2023
Origin-Destination Network Generation via Gravity-Guided GAN Can Rong Huandong Wang Yong Li 22 5 0 06 Jun 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 51 6 0 06 Apr 2023
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook Xuan Di Rongye Shi Zhaobin Mo Yongjie Fu PINN AI4TS AI4CE 37 28 0 03 Mar 2023
Physics-informed neural networks for solving forward and inverse problems in complex beam systems Taniya Kapoor Hongrui Wang A. Núñez R. Dollevoet AI4CE PINN 28 46 0 02 Mar 2023
Genetic Programming Based Symbolic Regression for Analytical Solutions to Differential Equations Hongsup Oh R. Amici Geoffrey F. Bomarito Shandian Zhe Robert M. Kirby Jacob Hochhalter 14 3 0 07 Feb 2023
Real-time simulation of viscoelastic tissue behavior with physics-guided deep learning Mohammad Karami H. Lombaert David Rivest-Hénault AI4CE 27 16 0 11 Jan 2023
Differentiable modeling to unify machine learning and physical models and advance Geosciences Chaopeng Shen A. Appling Pierre Gentine Toshiyuki Bandai H. Gupta ... Chris Rackauckas Tirthankar Roy Chonggang Xu Binayak Mohanty K. Lawson AI4CE 49 14 0 10 Jan 2023
Explainable, Physics Aware, Trustworthy AI Paradigm Shift for Synthetic Aperture Radar Mihai Datcu Zhongling Huang Andrei Anghel Juanping Zhao R. Cacoveanu 37 0 0 09 Jan 2023
Mixed moving average field guided learning for spatio-temporal data I. Curato O. Furat Lorenzo Proietti Bennet Stroeh AI4TS 33 2 0 02 Jan 2023
Mapping Knowledge Representations to Concepts: A Review and New Perspectives Lars Holmberg P. Davidsson Per Linde 42 1 0 31 Dec 2022
Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning Structures and Recommendations for 2020-2050 R. McGranaghan B. Thompson E. Camporeale J. Bortnik M. Bobra ... H. Bain P. Riley B. Tremblay Mark C. M. Cheung V. Delouille 6 1 0 26 Dec 2022
Robustness of Physics-Informed Neural Networks to Noise in Sensor Data Jian Cheng Wong P. Chiu C. Ooi My Ha Da 37 3 0 22 Nov 2022
Physics Informed Machine Learning for Chemistry Tabulation A. Salunkhe Dwyer Deighan P. DesJardin V. Chandola 18 6 0 06 Nov 2022
Auto-Encoder Neural Network Incorporating X-Ray Fluorescence Fundamental Parameters with Machine Learning Matthew C. Dirks David Poole 28 4 0 21 Oct 2022
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning Jiaxin Gao Wenbo Hu Dongxiao Zhang Yuntian Chen AI4TS AI4CE 46 2 0 05 Oct 2022
Artificial Intelligence in Concrete Materials: A Scientometric View Zhanzhao Li Aleksandra Radliñska AI4CE 24 2 0 17 Sep 2022
Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey Xiaodan Xing Huanjun Wu Lichao Wang Iain Stenson M. Yong Javier Del Ser Simon Walsh Guang Yang 37 7 0 17 Sep 2022
How important are activation functions in regression and classification? A survey, performance comparison, and future directions Ameya Dilip Jagtap George Karniadakis AI4CE 45 71 0 06 Sep 2022
AI-coupled HPC Workflows S. Jha V. Pascuzzi Matteo Turilli 26 9 0 24 Aug 2022
Decentralized digital twins of complex dynamical systems Omer San Suraj Pawar Adil Rasheed AI4CE 45 11 0 07 Jul 2022
Physics-informed machine learning for Structural Health Monitoring E. Cross S. Gibson M. R. Jones D. J. Pitchforth S. Zhang T. Rogers AI4CE 61 35 0 30 Jun 2022
Adaptive Sampling for Discovery Ziping Xu Eunjae Shim Ambuj Tewari Paul M. Zimmerman OffRL 22 4 0 30 May 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 37 84 0 13 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 56 57 0 31 Mar 2022
Can we integrate spatial verification methods into neural-network loss functions for atmospheric science? Ryan Lagerquist I. Ebert‐Uphoff 51 11 0 21 Mar 2022
SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectories Sakif Hossain Fatema-Tuj-Johora J. P. Müller Sven Hartmann Andreas Reinhardt AI4CE 21 6 0 06 Feb 2022
Physically Consistent Neural Networks for building thermal modeling: theory and analysis L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones PINN AI4CE 62 84 0 06 Dec 2021
A Hybrid Science-Guided Machine Learning Approach for Modeling and Optimizing Chemical Processes Niket Sharma Y. A. Liu 9 80 0 02 Dec 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 33 93 0 02 Nov 2021
Seeing biodiversity: perspectives in machine learning for wildlife conservation D. Tuia B. Kellenberger Sara Beery Blair R. Costelloe Silvia Zuffi ... I. Couzin Grant Van Horn M. Crofoot Chuck Stewart T. Berger-Wolf 38 392 0 25 Oct 2021
A Review of Physics-based Machine Learning in Civil Engineering S. Vadyala S. N. Betgeri J. Matthews Elizabeth Matthews AI4CE 35 152 0 09 Oct 2021
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks Jian Cheng Wong C. Ooi Abhishek Gupta Yew-Soon Ong AI4CE PINN SSL 23 77 0 20 Sep 2021
AdjointNet: Constraining machine learning models with physics-based codes S. Karra B. Ahmmed M. Mudunuru AI4CE PINN OOD 24 4 0 08 Sep 2021
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1 I. Ebert‐Uphoff Ryan Lagerquist Kyle Hilburn Yoonjin Lee Katherine Haynes Jason Stock C. Kumler J. Stewart 29 20 0 17 Jun 2021
Capabilities of Deep Learning Models on Learning Physical Relationships: Case of Rainfall-Runoff Modeling with LSTM Kazuki Yokoo K. Ishida A. Ercan T. Tu T. Nagasato M. Kiyama Motoki Amagasaki 26 33 0 15 Jun 2021
Explainable Machine Learning with Prior Knowledge: An Overview Katharina Beckh Sebastian Müller Matthias Jakobs Vanessa Toborek Hanxiao Tan Raphael Fischer Pascal Welke Sebastian Houben Laura von Rueden XAI 27 28 0 21 May 2021
Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural Network Architecture Q. Le C. Ooi AI4CE 27 10 0 09 May 2021
Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks Jian Cheng Wong C. Ooi P. Chiu M. Dao PINN AI4CE 32 4 0 05 May 2021
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport T. Praditia Matthias Karlbauer S. Otte S. Oladyshkin Martin Volker Butz Wolfgang Nowak AI4CE 17 18 0 13 Apr 2021
Towards a Collective Agenda on AI for Earth Science Data Analysis D. Tuia R. Roscher Jan Dirk Wegner Nathan Jacobs Xiaoxiang Zhu Gustau Camps-Valls AI4CE 44 68 0 11 Apr 2021