Enforcing Statistical Constraints in Generative Adversarial Networks for
Modeling Chaotic Dynamical Systems

Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems

13 May 2019

Papers citing "Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems"

18 / 18 papers shown

Title
Generative Modeling of Random Fields from Limited Data via Constrained Latent Flow Matching James E. Warner Tristan A. Shah Patrick E. Leser Geoffrey F. Bomarito Joshua D. Pribe Michael C. Stanley AI4CE 26 0 0 19 May 2025
Generating Physical Dynamics under Priors Zihan Zhou Xiaoxue Wang Tianshu Yu DiffM AI4CE 77 0 0 01 Sep 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator Xinghao Dong Chuanqi Chen Jin-Long Wu DiffM AI4CE 46 5 0 06 Aug 2024
Neural Network Methods for Radiation Detectors and Imaging S. Lin S. Ning H. Zhu T. Zhou C. L. Morris S. Clayton M. Cherukara R. T. Chen Z. Wang AI4CE 37 5 0 09 Nov 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 39 30 0 29 May 2023
Neural Partial Differential Equations with Functional Convolution Z. Wu Xingzhe He Yijun Li Cheng Yang Rui Liu S. Xiong Bo Zhu 23 1 0 10 Mar 2023
Physics-Constrained Generative Adversarial Networks for 3D Turbulence D. Tretiak A. Mohan Daniel Livescu GAN AI4CE PINN 37 2 0 01 Dec 2022
Knowledge-augmented Deep Learning and Its Applications: A Survey Zijun Cui Tian Gao Kartik Talamadupula Qiang Ji 46 18 0 30 Nov 2022
PARC: Physics-Aware Recurrent Convolutional Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials Phong C. H. Nguyen Y. Nguyen Joseph B. Choi P. Seshadri H. Udaykumar Stephen Seung-Yeob Baek AI4CE 24 16 0 04 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 53 57 0 31 Mar 2022
Adversarial sampling of unknown and high-dimensional conditional distributions M. Hassanaly Andrew Glaws Karen Stengel Ryan N. King GAN 27 21 0 08 Nov 2021
Physical Context and Timing Aware Sequence Generating GANs Hayato Futase Tomoki Tsujimura Tetsuya Kajimoto Hajime Kawarazaki Toshiyuki Suzuki Makoto Miwa Yutaka Sasaki GAN 35 0 0 28 Sep 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 46 65 0 02 Jul 2021
Hybrid Generative Models for Two-Dimensional Datasets Hoda Shajari Jaemoon Lee Sanjay Ranka Anand Rangarajan MedIm 21 0 0 01 Jun 2021
Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database M. Buzzicotti F. Bonaccorso P. C. D. Leoni Luca Biferale AI4CE 28 51 0 16 Jun 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 54 170 0 08 Feb 2020
Data-driven prediction of a multi-scale Lorenz 96 chaotic system using deep learning methods: Reservoir computing, ANN, and RNN-LSTM Ashesh Chattopadhyay Pedram Hassanzadeh D. Subramanian AI4CE 24 40 0 20 Jun 2019
Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction N. Benjamin Erichson Michael Muehlebach Michael W. Mahoney AI4CE PINN 17 140 0 26 May 2019