research
∙
09/01/2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
We propose the geometry-informed neural operator (GINO), a highly effici...
share
research
∙
04/26/2023
The Nonlocal Neural Operator: Universal Approximation
Neural operator architectures approximate operators between infinite-dim...
research
∙
01/19/2023
Forecasting subcritical cylinder wakes with Fourier Neural Operators
We apply Fourier neural operators (FNOs), a state-of-the-art operator le...
research
∙
11/29/2022
Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators
The physics-informed neural operator (PINO) is a machine learning archit...
research
∙
11/28/2022
Incremental Fourier Neural Operator
Recently, neural networks have proven their impressive ability to solve ...
research
∙
11/28/2022
Machine Learning Accelerated PDE Backstepping Observers
State estimation is important for a variety of tasks, from forecasting t...
research
∙
10/31/2022
Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators
Carbon capture and storage (CCS) is an important strategy for reducing c...
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
∙
10/27/2022
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Lithography modeling is a crucial problem in chip design to ensure a chi...
research
∙
07/11/2022
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
Deep learning surrogate models have shown promise in solving partial dif...
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
∙
03/12/2022
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks
Lithography simulation is a critical step in VLSI design and optimizatio...
research
∙
02/22/2022
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
FourCastNet, short for Fourier Forecasting Neural Network, is a global d...
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
∙
08/29/2021
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
Recent studies have shown that deep neural networks are vulnerable to in...
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
∙
03/02/2021
Unsupervised Word Segmentation with Bi-directional Neural Language Model
We present an unsupervised word segmentation model, in which the learnin...
research
∙
10/18/2020
Fourier Neural Operator for Parametric Partial Differential Equations
The classical development of neural networks has primarily focused on le...
research
∙
09/16/2020
Unsupervised Summarization by Jointly Extracting Sentences and Keywords
We present RepRank, an unsupervised graph-based ranking model for extrac...
research
∙
06/16/2020
Multipole Graph Neural Operator for Parametric Partial Differential Equations
One of the main challenges in using deep learning-based methods for simu...
research
∙
03/07/2020
Neural Operator: Graph Kernel Network for Partial Differential Equations
The classical development of neural networks has been primarily for mapp...
research
∙
06/06/2018
Conditional Linear Regression
Work in machine learning and statistics commonly focuses on building mod...
research
∙
11/13/2017
