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"

34 / 84 papers shown

Title
Model-data-driven constitutive responses: application to a multiscale computational framework J. Fuhg C. Boehm N. Bouklas A. Fau P. Wriggers M. Marino AILaw AI4CE 17 51 0 06 Apr 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 42 54 0 25 Feb 2021
Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Physics-Informed Autoencoders Andrey A. Popov Adrian Sandu AI4CE 17 8 0 25 Feb 2021
A Physics-Informed Deep Learning Paradigm for Car-Following Models Zhaobin Mo Xuan Di Rongye Shi PINN AI4CE 30 132 0 24 Dec 2020
Explanation from Specification Harish Naik Gyorgy Turán XAI 27 0 0 13 Dec 2020
Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method Yuntian Chen Dou Huang Dongxiao Zhang Junsheng Zeng Nanzhe Wang Haoran Zhang Jinyue Yan PINN 42 107 0 11 Dec 2020
Physics-Informed Neural Network for Modelling the Thermochemical Curing Process of Composite-Tool Systems During Manufacture S. Niaki E. Haghighat Trevor Campbell Xinglong Li R. Vaziri AI4CE 18 203 0 27 Nov 2020
On the application of Physically-Guided Neural Networks with Internal Variables to Continuum Problems J. Ayensa-Jiménez M. H. Doweidar J. A. Sanz-Herrera Manuel Doblaré 24 1 0 23 Nov 2020
Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress) R. McGranaghan Jack L. Ziegler T. Bloch S. Hatch E. Camporeale K. Lynch M. Owens J. Gjerloev Binzheng Zhang S. Skone 30 19 0 19 Nov 2020
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning J. Willard J. Read A. Appling S. Oliver X. Jia Vipin Kumar AI4TS 35 56 0 10 Nov 2020
Predicting the flow field in a U-bend with deep neural networks Gergely Hajgató Bálint Gyires-Tóth Gyorgy Paál AI4CE 29 2 0 01 Oct 2020
A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications N. Zobeiry K. D. Humfeld AI4CE 31 265 0 28 Sep 2020
$Transfer Learning via $\ell_1$ Regularization$ Transfer Learning via $\ell_1$ Regularization Masaaki Takada Hironori Fujisawa 25 7 0 26 Jun 2020
A Data Scientist's Guide to Streamflow Prediction M. Gauch Jimmy Lin AI4TS AI4CE 9 9 0 05 Jun 2020
A Bayesian - Deep Learning model for estimating Covid-19 evolution in Spain S. Cabras 32 25 0 20 May 2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions Abdulelah S. Alshehri R. Gani Fengqi You AI4CE 38 83 0 18 May 2020
Combining Parametric Land Surface Models with Machine Learning C. Pelissier J. Frame G. Nearing 13 11 0 14 Feb 2020
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability I. Laña J. S. Medina E. Vlahogianni Javier Del Ser 30 51 0 06 Feb 2020
Physics-Guided Deep Neural Networks for Power Flow Analysis Xinyue Hu Haoji Hu Saurabh Verma Zhi-Li Zhang 128 124 0 31 Jan 2020
TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information Lijing Wang Jiangzhuo Chen Madhav Marathe AI4TS 31 19 0 28 Jan 2020
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles X. Jia J. Willard Anuj Karpatne J. Read Jacob Aaron Zwart M. Steinbach Vipin Kumar AI4CE PINN 26 207 0 28 Jan 2020
Tensor Basis Gaussian Process Models of Hyperelastic Materials A. Frankel Reese E. Jones L. Swiler 19 41 0 23 Dec 2019
Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales D. Feng K. Fang Chaopeng Shen AI4TS 36 274 0 18 Dec 2019
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling Arka Daw R. Q. Thomas C. Carey J. Read A. Appling Anuj Karpatne AI4CE 39 117 0 06 Nov 2019
Deep Learning of Subsurface Flow via Theory-guided Neural Network Nanzhe Wang Dongxiao Zhang Haibin Chang Heng Li AI4CE 35 226 0 24 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 44 6,125 0 22 Oct 2019
Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning Peter Y. Lu Samuel Kim Marin Soljacic AI4CE 22 59 0 13 Jul 2019
Applying machine learning to improve simulations of a chaotic dynamical system using empirical error correction P. Watson AI4Cl AI4CE 27 63 0 24 Apr 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 39 626 0 29 Mar 2019
Combining Physically-Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn from Mismatch? A. Sun B. Scanlon Zizhan Zhang David Walling S. Bhanja A. Mukherjee Zhi Zhong AI4Cl 22 141 0 31 Jan 2019
An overview of deep learning in medical imaging focusing on MRI A. Lundervold A. Lundervold OOD 24 1,609 0 25 Nov 2018
A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms B. Kailkhura Jayaraman J. Thiagarajan Charvi Rastogi P. Varshney P. Bremer 24 20 0 16 Dec 2017
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 38 682 0 06 Dec 2017
Spatio-Temporal Data Mining: A Survey of Problems and Methods G. Atluri Anuj Karpatne Vipin Kumar AI4TS 35 272 0 13 Nov 2017