research
∙
04/26/2023
The Nonlocal Neural Operator: Universal Approximation
Neural operator architectures approximate operators between infinite-dim...
share
research
∙
11/28/2022
Incremental Fourier Neural Operator
Recently, neural networks have proven their impressive ability to solve ...
research
∙
10/28/2022
Improving Transferability of Adversarial Examples on Face Recognition with Beneficial Perturbation Feature Augmentation
Face recognition (FR) models can be easily fooled by adversarial example...
research
∙
07/08/2022
Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training
Machine learning techniques have been extensively studied for mask optim...
research
∙
11/06/2021
Physics-Informed Neural Operator for Learning Partial Differential Equations
Machine learning methods have recently shown promise in solving partial ...
research
∙
09/03/2021
U-FNO – an enhanced Fourier neural operator based-deep learning model for multiphase flow
Numerical simulation of multiphase flow in porous media is essential for...
research
∙
08/19/2021
Neural Operator: Learning Maps Between Function Spaces
The classical development of neural networks has primarily focused on le...
research
∙
06/13/2021
Markov Neural Operators for Learning Chaotic Systems
Chaotic systems are notoriously challenging to predict because of their ...
research
∙
10/18/2020
