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Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles

31 October 2018

Anuj Karpatne

Papers citing "Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles"

50 / 69 papers shown

Title
Scientifically-Interpretable Reasoning Network (ScIReN): Uncovering the Black-Box of Nature Joshua Fan Haodi Xu Feng Tao Md Nasim Marc Grimson Yiqi Luo Carla P. Gomes 25 0 0 16 Jun 2025
Mask-PINNs: Regulating Feature Distributions in Physics-Informed Neural Networks Feilong Jiang Xiaonan Hou Jianqiao Ye Min Xia OOD PINN 91 0 0 09 May 2025
Foundation Models for Environmental Science: A Survey of Emerging Frontiers Runlong Yu Shengyu Chen Yiqun Xie Huaxiu Yao J. Willard X. Jia AI4CE 129 1 0 05 Apr 2025
A Survey of Foundation Models for Environmental Science Runlong Yu Shengyu Chen Yiqun Xie X. Jia AI4CE 141 1 0 05 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
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science Runlong Yu Chonghao Qiu R. Ladwig Paul C. Hanson Yiqun Xie X. Jia AI4CE 105 3 0 10 Feb 2025
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks Erhu He Declan Kutscher Yiqun Xie Jacob Aaron Zwart Zhe Jiang Huaxiu Yao X. Jia AI4CE 132 0 0 21 Dec 2024
Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations Runlong Yu Chonghao Qiu R. Ladwig Paul C. Hanson Yiqun Xie Yanhua Li Xiaowei Jia 106 5 0 20 Nov 2024
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach Mohammed Amine Gharsallaoui Bhupinderjeet Singh Supriya Savalkar Aryan Deshwal Yan Yan Ananth Kalyanaraman Kirti Rajagopalan J. Doppa AI4CE 72 1 0 31 May 2024
Knowledge-guided Machine Learning: Current Trends and Future Prospects Anuj Karpatne X. Jia Vipin Kumar 103 12 0 24 Mar 2024
Temporally Consistent Koopman Autoencoders for Forecasting Dynamical Systems I. Nayak Ananda Chakrabarty Mrinal Kumar Fernando L. Teixeira Debdipta Goswami 116 5 0 19 Mar 2024
Densely Multiplied Physics Informed Neural Networks Feilong Jiang Xiaonan Hou Min Xia PINN 76 2 0 06 Feb 2024
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction Kethmi Hirushini Hettige Jiahao Ji Shili Xiang Cheng Long Gao Cong Jingyuan Wang AI4CE 64 16 0 06 Feb 2024
Towards Interpretable Physical-Conceptual Catchment-Scale Hydrological Modeling using the Mass-Conserving-Perceptron Yuan-Heng Wang Hoshin V. Gupta AI4CE 153 3 0 25 Jan 2024
Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills Hector M. Perez-Villeda J. Piater Matteo Saveriano 45 0 0 04 Nov 2023
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics Applications M. Haywood-Alexander Wei Liu Kiran Bacsa Zhilu Lai Eleni Chatzi AI4CE 78 12 0 31 Oct 2023
Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems Arvind Renganathan Rahul Ghosh A. Khandelwal Vipin Kumar 68 0 0 07 Oct 2023
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling Kshitij Tayal Arvind Renganathan Rahul Ghosh X. Jia Vipin Kumar SyDa AI4CE 89 5 0 19 Sep 2023
An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations Mattia Silvestri Federico Baldo Eleonora Misino M. Lombardi AI4CE 40 1 0 17 Jun 2023
HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation Shengyu Chen Shihang Feng Yao Huang Z. Lei Xiaowei Jia Youzuo Lin Estaben Rougier AI4CE 111 0 0 14 Jun 2023
Origin-Destination Network Generation via Gravity-Guided GAN Can Rong Huandong Wang Yong Li 68 6 0 06 Jun 2023
Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement Shengyu Chen Tianshu Bao P. Givi Can Zheng Xiaowei Jia AI4CE 77 0 0 24 Apr 2023
Label-free timing analysis of SiPM-based modularized detectors with physics-constrained deep learning P. Ai L. Xiao Z. Deng Yi Wang Xiangming Sun Guangming Huang Dong Wang Yulei Li Xinchi Ran 37 2 0 24 Apr 2023
Decadal Temperature Prediction via Chaotic Behavior Tracking Jinfu Ren Yang Liu Jiming Liu 18 0 0 19 Apr 2023
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review Sibo Cheng César Quilodrán-Casas Said Ouala A. Farchi Che Liu ... Weiping Ding Yike Guo A. Carrassi Marc Bocquet Rossella Arcucci AI4CE 81 138 0 18 Mar 2023
Likelihood-based generalization of Markov parameter estimation and multiple shooting objectives in system identification Nicholas Galioto Alex Arkady Gorodetsky 152 1 0 20 Dec 2022
Knowledge-augmented Deep Learning and Its Applications: A Survey Zijun Cui Tian Gao Kartik Talamadupula Qiang Ji 114 20 0 30 Nov 2022
Online model error correction with neural networks in the incremental 4D-Var framework A. Farchi M. Chrust Marc Bocquet P. Laloyaux Massimo Bonavita 136 21 0 25 Oct 2022
Phy-Taylor: Physics-Model-Based Deep Neural Networks Y. Mao L. Sha Huajie Shao Yuliang Gu Qixin Wang Tarek Abdelzaher PINN AI4CE 101 1 0 27 Sep 2022
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems Hai V. Nguyen T. Bui-Thanh 68 2 0 09 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
The Digital Twin Landscape at the Crossroads of Predictive Maintenance, Machine Learning and Physics Based Modeling Brian E Kunzer Mario Berges Artur Dubrawski AI4CE 54 6 0 21 Jun 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
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature X. Jia Shengyu Chen Yiqun Xie Haoyu Yang A. Appling S. Oliver Zhe Jiang DiffM 72 3 0 11 Feb 2022
Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction Yuxin Meng Eric Rigall Xueén Chen Feng Gao Junyu Dong Sheng Chen GAN AI4CE 75 42 0 04 Nov 2021
Kinematically consistent recurrent neural networks for learning inverse problems in wave propagation Wrik Mallik R. Jaiman J. Jelovica AI4CE 64 3 0 08 Oct 2021
PCNN: A physics-constrained neural network for multiphase flows Haoyang Zheng Ziyang Huang Guang Lin PINN 57 9 0 18 Sep 2021
Differentiable Physics: A Position Piece Bharath Ramsundar Dilip Krishnamurthy V. Viswanathan PINN AI4CE 75 17 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
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks Shengyu Chen S. Sammak P. Givi J. Yurko Xiaowei Jia AI4CE 57 10 0 06 Sep 2021
A comparison of combined data assimilation and machine learning methods for offline and online model error correction A. Farchi Marc Bocquet P. Laloyaux Massimo Bonavita Quentin Malartic OffRL 86 36 0 23 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 125 69 0 02 Jul 2021
Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise Nidhin Harilal Udit Bhatia A. Ganguly OOD 37 0 0 23 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
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
Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes Pravin Bhasme Jenil Vagadiya Udit Bhatia AI4CE 42 67 0 22 Apr 2021
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions D. Svendsen M. Piles Jordi Munoz-Marí D. Luengo Luca Martino Gustau Camps-Valls 64 15 0 16 Apr 2021
Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction Alexandra Baier Zeyd Boukhers Steffen Staab 46 11 0 11 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 106 56 0 25 Feb 2021
MC-LSTM: Mass-Conserving LSTM Pieter-Jan Hoedt Frederik Kratzert D. Klotz Christina Halmich Markus Holzleitner G. Nearing Sepp Hochreiter Günter Klambauer 87 60 0 13 Jan 2021