ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.13587
  4. Cited By
Adaptive Fourier Neural Operators: Efficient Token Mixers for
  Transformers

Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers

24 November 2021
John Guibas
Morteza Mardani
Zong-Yi Li
Andrew Tao
Anima Anandkumar
Bryan Catanzaro
ArXivPDFHTML

Papers citing "Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers"

49 / 49 papers shown
Title
FREAK: Frequency-modulated High-fidelity and Real-time Audio-driven Talking Portrait Synthesis
FREAK: Frequency-modulated High-fidelity and Real-time Audio-driven Talking Portrait Synthesis
Ziqi Ni
Ao Fu
Yi Zhou
147
0
0
06 Mar 2025
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling
DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling
Yaohua Zang
P. Koutsourelakis
AI4CE
84
1
0
10 Feb 2025
Efficient Fourier Filtering Network with Contrastive Learning for UAV-based Unaligned Bi-modal Salient Object Detection
Efficient Fourier Filtering Network with Contrastive Learning for UAV-based Unaligned Bi-modal Salient Object Detection
Pengfei Lyu
Pak-Hei Yeung
Xiufei Cheng
Xiaosheng Yu
Chengdong Wu
Jagath C. Rajapakse
64
0
0
06 Nov 2024
Can AI weather models predict out-of-distribution gray swan tropical cyclones?
Can AI weather models predict out-of-distribution gray swan tropical cyclones?
Y. Qiang Sun
Pedram Hassanzadeh
Mohsen Zand
Ashesh Chattopadhyay
Jonathan Weare
D. Abbot
80
7
0
19 Oct 2024
Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs
Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs
Chun-Wun Cheng
Jiahao Huang
Yi Zhang
Guang Yang
Carola-Bibiane Schonlieb
Angelica I Aviles-Rivero
Mamba
AI4CE
108
4
0
03 Oct 2024
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs
Hrishikesh Viswanath
Yue Chang
Julius Berner
Julius Berner
Peter Yichen Chen
Aniket Bera
AI4CE
112
2
0
04 Jul 2024
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Wanghan Xu
Fenghua Ling
Wenlong Zhang
Tao Han
Hao Chen
Wanli Ouyang
Lei Bai
AI4CE
153
5
0
22 May 2024
Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet
Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet
Melissa Adrian
Daniel Sanz-Alonso
Rebecca Willett
91
5
0
21 May 2024
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention
Ethan N. Evans
Matthew G. Cook
Zachary P. Bradshaw
Margarite L. LaBorde
143
5
0
21 Mar 2024
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
Hao Wu
Wei Xion
Fan Xu
Xian-Sheng Hua
C. L. Philip Chen
Xiansheng Hua
AI4TS
158
28
0
19 May 2023
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
Kun Yi
Qi Zhang
LongBing Cao
Shoujin Wang
Guodong Long
Liang Hu
Hui He
ZhenDong Niu
Wei Fan
Hui Xiong
AI4TS
114
23
0
04 Feb 2023
Multiwavelet-based Operator Learning for Differential Equations
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta
Xiongye Xiao
P. Bogdan
162
213
0
28 Sep 2021
U-FNO -- An enhanced Fourier neural operator-based deep-learning model
  for multiphase flow
U-FNO -- An enhanced Fourier neural operator-based deep-learning model for multiphase flow
Gege Wen
Zong-Yi Li
Kamyar Azizzadenesheli
Anima Anandkumar
S. Benson
AI4CE
71
383
0
03 Sep 2021
Neural Operator: Learning Maps Between Function Spaces
Neural Operator: Learning Maps Between Function Spaces
Nikola B. Kovachki
Zong-Yi Li
Burigede Liu
Kamyar Azizzadenesheli
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
99
446
0
19 Aug 2021
AS-MLP: An Axial Shifted MLP Architecture for Vision
AS-MLP: An Axial Shifted MLP Architecture for Vision
Dongze Lian
Zehao Yu
Xing Sun
Shenghua Gao
112
189
0
18 Jul 2021
Long-Short Transformer: Efficient Transformers for Language and Vision
Long-Short Transformer: Efficient Transformers for Language and Vision
Chen Zhu
Ming-Yu Liu
Chaowei Xiao
Mohammad Shoeybi
Tom Goldstein
Anima Anandkumar
Bryan Catanzaro
ViT
VLM
71
133
0
05 Jul 2021
Global Filter Networks for Image Classification
Global Filter Networks for Image Classification
Yongming Rao
Wenliang Zhao
Zheng Zhu
Jiwen Lu
Jie Zhou
ViT
60
463
0
01 Jul 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
242
4,990
0
31 May 2021
Choose a Transformer: Fourier or Galerkin
Choose a Transformer: Fourier or Galerkin
Shuhao Cao
60
241
0
31 May 2021
Pay Attention to MLPs
Pay Attention to MLPs
Hanxiao Liu
Zihang Dai
David R. So
Quoc V. Le
AI4CE
108
659
0
17 May 2021
FNet: Mixing Tokens with Fourier Transforms
FNet: Mixing Tokens with Fourier Transforms
James Lee-Thorp
Joshua Ainslie
Ilya Eckstein
Santiago Ontanon
90
526
0
09 May 2021
ResMLP: Feedforward networks for image classification with
  data-efficient training
ResMLP: Feedforward networks for image classification with data-efficient training
Hugo Touvron
Piotr Bojanowski
Mathilde Caron
Matthieu Cord
Alaaeldin El-Nouby
...
Gautier Izacard
Armand Joulin
Gabriel Synnaeve
Jakob Verbeek
Hervé Jégou
VLM
75
660
0
07 May 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
401
2,658
0
04 May 2021
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
Yuxuan Zhang
Huan Ling
Jun Gao
K. Yin
Jean-Francois Lafleche
Adela Barriuso
Antonio Torralba
Sanja Fidler
3DH
GAN
VLM
74
335
0
13 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
409
21,347
0
25 Mar 2021
Random Feature Attention
Random Feature Attention
Hao Peng
Nikolaos Pappas
Dani Yogatama
Roy Schwartz
Noah A. Smith
Lingpeng Kong
80
356
0
03 Mar 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
495
3,709
0
24 Feb 2021
Nyströmformer: A Nyström-Based Algorithm for Approximating
  Self-Attention
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention
Yunyang Xiong
Zhanpeng Zeng
Rudrasis Chakraborty
Mingxing Tan
G. Fung
Yin Li
Vikas Singh
87
517
0
07 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
536
40,739
0
22 Oct 2020
Fourier Neural Operator for Parametric Partial Differential Equations
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
466
2,384
0
18 Oct 2020
Rethinking Attention with Performers
Rethinking Attention with Performers
K. Choromanski
Valerii Likhosherstov
David Dohan
Xingyou Song
Andreea Gane
...
Afroz Mohiuddin
Lukasz Kaiser
David Belanger
Lucy J. Colwell
Adrian Weller
167
1,570
0
30 Sep 2020
Efficient Transformers: A Survey
Efficient Transformers: A Survey
Yi Tay
Mostafa Dehghani
Dara Bahri
Donald Metzler
VLM
146
1,115
0
14 Sep 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear
  Attention
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
Angelos Katharopoulos
Apoorv Vyas
Nikolaos Pappas
Franccois Fleuret
166
1,759
0
29 Jun 2020
Linformer: Self-Attention with Linear Complexity
Linformer: Self-Attention with Linear Complexity
Sinong Wang
Belinda Z. Li
Madian Khabsa
Han Fang
Hao Ma
185
1,694
0
08 Jun 2020
Longformer: The Long-Document Transformer
Longformer: The Long-Document Transformer
Iz Beltagy
Matthew E. Peters
Arman Cohan
RALM
VLM
131
4,048
0
10 Apr 2020
Efficient Content-Based Sparse Attention with Routing Transformers
Efficient Content-Based Sparse Attention with Routing Transformers
Aurko Roy
M. Saffar
Ashish Vaswani
David Grangier
MoE
294
596
0
12 Mar 2020
Neural Operator: Graph Kernel Network for Partial Differential Equations
Neural Operator: Graph Kernel Network for Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
167
727
0
07 Mar 2020
Sparse Sinkhorn Attention
Sparse Sinkhorn Attention
Yi Tay
Dara Bahri
Liu Yang
Donald Metzler
Da-Cheng Juan
76
339
0
26 Feb 2020
Reformer: The Efficient Transformer
Reformer: The Efficient Transformer
Nikita Kitaev
Lukasz Kaiser
Anselm Levskaya
VLM
181
2,307
0
13 Jan 2020
Axial Attention in Multidimensional Transformers
Axial Attention in Multidimensional Transformers
Jonathan Ho
Nal Kalchbrenner
Dirk Weissenborn
Tim Salimans
98
528
0
20 Dec 2019
Transformer Dissection: A Unified Understanding of Transformer's
  Attention via the Lens of Kernel
Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel
Yao-Hung Hubert Tsai
Shaojie Bai
M. Yamada
Louis-Philippe Morency
Ruslan Salakhutdinov
98
254
0
30 Aug 2019
Generating Long Sequences with Sparse Transformers
Generating Long Sequences with Sparse Transformers
R. Child
Scott Gray
Alec Radford
Ilya Sutskever
95
1,894
0
23 Apr 2019
Image Transformer
Image Transformer
Niki Parmar
Ashish Vaswani
Jakob Uszkoreit
Lukasz Kaiser
Noam M. Shazeer
Alexander Ku
Dustin Tran
ViT
116
1,678
0
15 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
169
19,204
0
13 Jan 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
640
130,942
0
12 Jun 2017
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
977
11,587
0
06 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.0K
193,426
0
10 Dec 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning
  with Humans in the Loop
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Feng Yu
Ari Seff
Yinda Zhang
Shuran Song
Thomas Funkhouser
Jianxiong Xiao
67
2,331
0
10 Jun 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
227
8,391
0
28 Nov 2014
1