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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
AdjointNet: Constraining machine learning models with physics-based codes S. Karra B. Ahmmed M. Mudunuru AI4CE PINN OOD 66 4 0 08 Sep 2021
Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder R. Cooper Andrey A. Popov Adrian Sandu 79 4 0 27 Aug 2021
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation G. Worrall Anand Rangarajan J. Judge 74 7 0 24 Jun 2021
Tensor Learning-based Precoder Codebooks for FD-MIMO Systems Keerthana Bhogi Chiranjib Saha Harpreet S. Dhillon 33 0 0 21 Jun 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 73 22 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 89 37 0 15 Jun 2021
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling Niv Giladi Z. Ben-Haim Sella Nevo Yossi Matias Daniel Soudry AI4CE 54 9 0 14 Jun 2021
PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics Arka Daw M. Maruf Anuj Karpatne AI4CE 92 43 0 06 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 82 28 0 21 May 2021
Learning to Route via Theory-Guided Residual Network Chang-rui Liu Guanjie Zheng Z. Li 41 4 0 18 May 2021
Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural Network Architecture Q. Le C. Ooi AI4CE 51 10 0 09 May 2021
Interpretable machine learning for high-dimensional trajectories of aging health Spencer Farrell Arnold Mitnitski Kenneth Rockwood Andrew Rutenberg AI4CE 45 20 0 07 May 2021
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport T. Praditia Matthias Karlbauer S. Otte S. Oladyshkin Martin Volker Butz Wolfgang Nowak AI4CE 67 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 84 70 0 11 Apr 2021
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 48 54 0 06 Apr 2021
Theory-Guided Machine Learning for Process Simulation of Advanced Composites N. Zobeiry A. Poursartip AI4CE 15 5 0 30 Mar 2021
Knowledge-Guided Dynamic Systems Modeling: A Case Study on Modeling River Water Quality Namyong Park Minhyeok Kim N. X. Hoai R. I. R. McKay Dong-Kyun Kim 18 2 0 01 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 106 56 0 25 Feb 2021
Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Physics-Informed Autoencoders Andrey A. Popov Adrian Sandu AI4CE 76 8 0 25 Feb 2021
Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs Jie Bu Anuj Karpatne 85 52 0 20 Jan 2021
A Survey on Spatial and Spatiotemporal Prediction Methods Zhe Jiang 33 4 0 24 Dec 2020
A Physics-Informed Deep Learning Paradigm for Car-Following Models Zhaobin Mo Xuan Di Rongye Shi PINN AI4CE 183 140 0 24 Dec 2020
Explanation from Specification Harish Naik Gyorgy Turán XAI 54 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 76 111 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 142 211 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 33 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 34 19 0 19 Nov 2020
Identification of state functions by physically-guided neural networks with physically-meaningful internal layers J. Ayensa-Jiménez M. H. Doweidar J. A. Sanz-Herrera Manuel Doblaré PINN 32 1 0 17 Nov 2020
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective Bao-Gang Hu Hanbing Qu AI4CE 110 1 0 12 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 72 57 0 10 Nov 2020
Physics-Informed Echo State Networks N. Doan W. Polifke Luca Magri 43 51 0 31 Oct 2020
Living in the Physics and Machine Learning Interplay for Earth Observation Gustau Camps-Valls D. Svendsen Jordi Cortés-Andrés Álvaro Moreno-Martínez Adrián Pérez-Suay J. Adsuara I. Martín M. Piles Jordi Munoz-Marí Luca Martino PINN AI4CE 41 6 0 18 Oct 2020
Predicting the flow field in a U-bend with deep neural networks Gergely Hajgató Bálint Gyires-Tóth Gyorgy Paál AI4CE 39 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 94 278 0 28 Sep 2020
Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow R. Xu Dongxiao Zhang Miao Rong Nanzhe Wang AI4CE 83 51 0 08 Sep 2020
$Transfer Learning via $\ell_1$ Regularization$ Transfer Learning via $\ell_1$ Regularization Masaaki Takada Hironori Fujisawa 48 7 0 26 Jun 2020
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges L. Swiler Mamikon A. Gulian A. Frankel Cosmin Safta J. Jakeman GP AI4CE 110 106 0 16 Jun 2020
A Data Scientist's Guide to Streamflow Prediction M. Gauch Jimmy Lin AI4TS AI4CE 51 9 0 05 Jun 2020
A Linear Algebraic Approach to Model Parallelism in Deep Learning Russell J. Hewett Thomas J. Grady FedML 47 16 0 04 Jun 2020
A Bayesian - Deep Learning model for estimating Covid-19 evolution in Spain S. Cabras 53 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 98 86 0 18 May 2020
Off-the-shelf deep learning is not enough: parsimony, Bayes and causality Rama K Vasudevan M. Ziatdinov L. Vlček Sergei V. Kalinin BDL CML AI4CE 20 0 0 04 May 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 158 415 0 10 Mar 2020
Combining Parametric Land Surface Models with Machine Learning C. Pelissier J. Frame G. Nearing 15 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 106 52 0 06 Feb 2020
Physics-Guided Deep Neural Networks for Power Flow Analysis Xinyue Hu Haoji Hu Saurabh Verma Zhi-Li Zhang 222 128 0 31 Jan 2020
TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information Lijing Wang Jiangzhuo Chen Madhav Marathe AI4TS 67 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 119 217 0 28 Jan 2020
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning Kevin Maik Jablonka D. Ongari S. M. Moosavi B. Smit AI4CE 85 365 0 18 Jan 2020
Tensor Basis Gaussian Process Models of Hyperelastic Materials A. Frankel Reese E. Jones L. Swiler 81 43 0 23 Dec 2019