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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"

50 / 122 papers shown

Title
Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Martha Arbayani Zaidan Naser Hossein Motlagh Petteri Nurmi Tareq Hussein Markku Kulmala Tuukka Petäjä Sasu Tarkoma AI4CE 24 0 0 19 Jun 2025
PMNO: A novel physics guided multi-step neural operator predictor for partial differential equations Jin Song Kenji Kawaguchi Zhenya Yan AI4CE 77 0 0 02 Jun 2025
Field-scale soil moisture estimated from Sentinel-1 SAR data using a knowledge-guided deep learning approach Yi Yu Patrick Filippi Thomas Francis Bishop 36 0 0 01 May 2025
A Knowledge-guided Adversarial Defense for Resisting Malicious Visual Manipulation Dawei Zhou Suzhi Gang Decheng Liu Tongliang Liu N. Wang Xinbo Gao AAML 110 0 0 11 Apr 2025
FirePlace: Geometric Refinements of LLM Common Sense Reasoning for 3D Object Placement Ian Huang Yanan Bao Karen Truong Howard Zhou Cordelia Schmid Leonidas Guibas Alireza Fathi 3DV 55 2 0 06 Mar 2025
Towards Physics-Guided Foundation Models Majid Farhadloo Arun Sharma Mingzhou Yang B. Jayaprakash W. Northrop Shashi Shekhar AI4CE 104 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 85 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 169 0 0 28 Aug 2024
Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Data Tongyi Liang Han-Xiong Li AI4TS 59 0 0 23 Feb 2024
Hybrid Modeling Design Patterns Maja Rudolph Stefan Kurz Barbara Rakitsch AI4CE 90 9 0 29 Dec 2023
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications John S. Schreck D. Gagne Charlie Becker William E. Chapman K. Elmore ... Vanessa M. Pryzbylo Jacob T. Radford B. Saavedra Justin Willson Christopher D. Wirz BDL UD OOD UQCV EDL 37 9 0 22 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 70 9 0 19 Sep 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 113 6 0 06 Apr 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 39 5 0 07 Feb 2023
Real-time simulation of viscoelastic tissue behavior with physics-guided deep learning Mohammad Karami H. Lombaert David Rivest-Hénault AI4CE 58 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 110 15 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 64 0 0 09 Jan 2023
Mixed moving average field guided learning for spatio-temporal data I. Curato O. Furat Lorenzo Proietti Bennet Stroeh AI4TS 121 2 0 02 Jan 2023
Mapping Knowledge Representations to Concepts: A Review and New Perspectives Lars Holmberg P. Davidsson Per Linde 88 2 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 21 1 0 26 Dec 2022
Auto-Encoder Neural Network Incorporating X-Ray Fluorescence Fundamental Parameters with Machine Learning Matthew C. Dirks David Poole 35 5 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 83 2 0 05 Oct 2022
Unifying Model-Based and Neural Network Feedforward: Physics-Guided Neural Networks with Linear Autoregressive Dynamics J. Kon D. Bruijnen Jeroen van de Wijdeven M. Heertjes T. Oomen 62 5 0 26 Sep 2022
Artificial Intelligence in Concrete Materials: A Scientometric View Zhanzhao Li Aleksandra Radliñska AI4CE 26 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 56 10 0 17 Sep 2022
Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation Houssem Ben Braiek Thomas Reid Foutse Khomh AAML 46 3 0 07 Sep 2022
AI-coupled HPC Workflows S. Jha V. Pascuzzi Matteo Turilli 67 10 0 24 Aug 2022
A physics-based domain adaptation framework for modelling and forecasting building energy systems Zack Xuereb Conti R. Choudhary Luca Magri AI4CE 33 6 0 19 Aug 2022
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers Björn Lütjens Catherine H. Crawford C. Watson C. Hill Dava Newman AI4CE 52 10 0 23 Jul 2022
A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction Andrey A. Popov A. Sarshar Austin Chennault Adrian Sandu 70 2 0 14 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 105 36 0 30 Jun 2022
A Secure and Trusted Mechanism for Industrial IoT Network using Blockchain Geetanjali Rathee Farhan Ahmad Naveen Jaglan Charalambos Konstantinou 15 25 0 07 Jun 2022
Adaptive Sampling for Discovery Ziping Xu Eunjae Shim Ambuj Tewari Paul M. Zimmerman OffRL 63 5 0 30 May 2022
Data-aided Underwater Acoustic Ray Propagation Modeling Kexin Li M. Chitre 54 13 0 12 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 71 91 0 13 Apr 2022
Can we integrate spatial verification methods into neural-network loss functions for atmospheric science? Ryan Lagerquist I. Ebert‐Uphoff 82 12 0 21 Mar 2022
EINNs: Epidemiologically-informed Neural Networks Alexander Rodríguez Jiaming Cui Naren Ramakrishnan B. Adhikari B. Prakash 76 30 0 21 Feb 2022
Integration of knowledge and data in machine learning Yuntian Chen Dongxiao Zhang PINN 93 34 0 15 Feb 2022
SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectories Sakif Hossain Fatema-Tuj-Johora J. P. Müller Sven Hartmann Andreas Reinhardt AI4CE 66 6 0 06 Feb 2022
Knock Detection in Combustion Engine Time Series Using a Theory-Guided 1D Convolutional Neural Network Approach André Ofner Achilles Kefalas S. Posch Bernhard C. Geiger AI4TS 34 12 0 18 Jan 2022
Physically Consistent Neural Networks for building thermal modeling: theory and analysis L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones PINN AI4CE 107 90 0 06 Dec 2021
A Hybrid Science-Guided Machine Learning Approach for Modeling and Optimizing Chemical Processes Niket Sharma Y. A. Liu 32 86 0 02 Dec 2021
Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches R. Korbmacher A. Tordeux 95 93 0 11 Nov 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 63 98 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 98 420 0 25 Oct 2021
A Review of Physics-based Machine Learning in Civil Engineering S. Vadyala S. N. Betgeri J. Matthews Elizabeth Matthews AI4CE 91 158 0 09 Oct 2021
Paradigm Shift Through the Integration of Physical Methodology and Data Science T. Miyamoto AI4CE 45 0 0 30 Sep 2021
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks Jian Cheng Wong C. Ooi Abhishek Gupta Yew-Soon Ong AI4CE PINN SSL 86 82 0 20 Sep 2021
Data-Driven Theory-guided Learning of Partial Differential Equations using SimultaNeous Basis Function Approximation and Parameter Estimation (SNAPE) Sutanu Bhowmick Satish Nagarajaiah 44 7 0 14 Sep 2021
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology Rahul Ghosh Arvind Renganathan Kshitij Tayal Xiang Li A. Khandelwal X. Jia C. Duffy J. Neiber Vipin Kumar 113 23 0 14 Sep 2021