Deciphering and integrating invariants for neural operator learning with
various physical mechanisms

Deciphering and integrating invariants for neural operator learning with various physical mechanisms

24 November 2023

Papers citing "Deciphering and integrating invariants for neural operator learning with various physical mechanisms"

10 / 10 papers shown

Title
PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems Han Wan Rui Zhang Qi Wang Y. Liu Hao Sun PINN 33 0 0 03 May 2025
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Rudy Morel Jiequn Han Edouard Oyallon AI4CE 51 0 0 28 Apr 2025
Strategies for Pretraining Neural Operators Anthony Y. Zhou Cooper Lorsung AmirPouya Hemmasian Amir Barati Farimani AI4CE 34 4 0 12 Jun 2024
Masked Autoencoders are PDE Learners Anthony Y. Zhou A. Farimani AI4CE 28 5 0 26 Mar 2024
PICL: Physics Informed Contrastive Learning for Partial Differential Equations Cooper Lorsung A. Farimani AI4CE 28 4 0 29 Jan 2024
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation Rui Zhang Qi Meng Rongchan Zhu Yue Wang Wenlei Shi Shihua Zhang Zhi-Ming Ma Tie-Yan Liu DiffM AI4CE 44 4 0 10 Feb 2023
SCVRL: Shuffled Contrastive Video Representation Learning Michael Dorkenwald Fanyi Xiao Biagio Brattoli Joseph Tighe Davide Modolo SSL 27 16 0 24 May 2022
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 115 198 0 28 Sep 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 197 2,254 0 18 Oct 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015