Physics-Guided Architecture (PGA) of Neural Networks for Quantifying
Uncertainty in Lake Temperature Modeling

Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling

6 November 2019

Arka Daw

Anuj Karpatne

Papers citing "Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling"

12 / 12 papers shown

Title
Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling Nicholas Galioto Harsh Sharma Boris Kramer Alex Arkady Gorodetsky 44 0 0 23 Jan 2024
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management Muneeza Azmat Malvern Madondo Kelsey L. DiPietro R. Horesh Arun Bawa Michael Jacobs Raghavan Srinivasan Fearghal O'Donncha 32 4 0 12 Dec 2022
Knowledge-augmented Deep Learning and Its Applications: A Survey Zijun Cui Tian Gao Kartik Talamadupula Qiang Ji 49 18 0 30 Nov 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
On feedforward control using physics-guided neural networks: Training cost regularization and optimized initialization M. Bolderman M. Lazar H. Butler AI4CE 11 10 0 28 Jan 2022
Physically Explainable CNN for SAR Image Classification Zhongling Huang Xiwen Yao Ying Liu C. Dumitru Mihai Datcu Junwei Han PINN 27 60 0 27 Oct 2021
Kinematically consistent recurrent neural networks for learning inverse problems in wave propagation Wrik Mallik R. Jaiman J. Jelovica AI4CE 25 3 0 08 Oct 2021
Physics-constrained Deep Learning for Robust Inverse ECG Modeling Jianxin Xie B. Yao 30 22 0 26 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 46 65 0 02 Jul 2021
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers Ashesh Chattopadhyay M. Mustafa Pedram Hassanzadeh Eviatar Bach K. Kashinath AI4CE 26 25 0 16 Mar 2021
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks X. Jia Beiyu Lin Jacob Aaron Zwart J. Sadler A. Appling S. Oliver J. Read OffRL AI4CE 39 6 0 27 Oct 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015