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U-NO: U-shaped Neural Operators
v1v2v3 (latest)

U-NO: U-shaped Neural Operators

23 April 2022
Md Ashiqur Rahman
Zachary E. Ross
Kamyar Azizzadenesheli
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "U-NO: U-shaped Neural Operators"

26 / 76 papers shown
Generating synthetic data for neural operators
Generating synthetic data for neural operatorsSMAI Journal of Computational Mathematics (SMAI-JCM), 2024
Erisa Hasani
Rachel A. Ward
AI4CE
538
11
0
04 Jan 2024
Operator-learning-inspired Modeling of Neural Ordinary Differential
  Equations
Operator-learning-inspired Modeling of Neural Ordinary Differential EquationsAAAI Conference on Artificial Intelligence (AAAI), 2023
Woojin Cho
Seunghyeon Cho
Hyundong Jin
Jinsung Jeon
Kookjin Lee
Sanghyun Hong
Dongeun Lee
Jonghyun Choi
Noseong Park
AI4TSAI4CE
165
3
0
16 Dec 2023
DFU: scale-robust diffusion model for zero-shot super-resolution image
  generation
DFU: scale-robust diffusion model for zero-shot super-resolution image generation
Alex Havrilla
Kevin Rojas
Wenjing Liao
Molei Tao
359
2
0
30 Nov 2023
Deciphering and integrating invariants for neural operator learning with
  various physical mechanisms
Deciphering and integrating invariants for neural operator learning with various physical mechanismsNational Science Review (NSR), 2023
Rui Zhang
Qi Meng
Zhi-Ming Ma
AI4CE
260
13
0
24 Nov 2023
Interpretable Neural PDE Solvers using Symbolic Frameworks
Interpretable Neural PDE Solvers using Symbolic Frameworks
Yolanne Yi Ran Lee
AI4CE
223
1
0
31 Oct 2023
Broadband Ground Motion Synthesis via Generative Adversarial Neural
  Operators: Development and Validation
Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and ValidationBulletin of The Seismological Society of America (BSSA) (BSSA), 2023
Yaozhong Shi
Grigorios Lavrentiadis
D. Asimaki
Zachary E. Ross
Kamyar Azizzadenesheli
285
33
0
07 Sep 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Geometry-Informed Neural Operator for Large-Scale 3D PDEsNeural Information Processing Systems (NeurIPS), 2023
Zong-Yi Li
Nikola B. Kovachki
Chris Choy
Boyi Li
Jean Kossaifi
...
M. A. Nabian
Maximilian Stadler
Christian Hundt
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
378
243
0
01 Sep 2023
Scattering with Neural Operators
Scattering with Neural Operators
Sebastian Mizera
AI4CE
278
14
0
28 Aug 2023
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces
Miguel Liu-Schiaffini
C. Singer
Nikola B. Kovachki
T. Schneider
Kamyar Azizzadenesheli
Anima Anandkumar
Anima Anandkumar
185
5
0
17 Aug 2023
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning
Sheikh Md Shakeel Hassan
Arthur Feeney
A. Dhruv
Jih-Woon Kim
Youngjoon Suh
Jaiyoung Ryu
Y. Won
Aparna Chandramowlishwaran
AI4CE
254
13
0
27 Jul 2023
Solving multiphysics-based inverse problems with learned surrogates and
  constraints
Solving multiphysics-based inverse problems with learned surrogates and constraintsAdvanced Modeling and Simulation in Engineering Sciences (AMSES), 2023
Ziyi Yin
Rafael Orozco
M. Louboutin
Felix J. Herrmann
AI4CE
310
14
0
18 Jul 2023
Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves
  Propagation
Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation
F. Lehmann
F. Gatti
M. Bertin
Didier Clouteau
AI4CE
177
49
0
20 Apr 2023
Challenges and opportunities for machine learning in multiscale
  computational modeling
Challenges and opportunities for machine learning in multiscale computational modelingJournal of Computing and Information Science in Engineering (JCISE), 2023
Phong C. H. Nguyen
Joseph B. Choi
H. Udaykumar
Stephen Seung-Yeob Baek
AI4CE
134
21
0
22 Mar 2023
Variational Autoencoding Neural Operators
Variational Autoencoding Neural OperatorsInternational Conference on Machine Learning (ICML), 2023
Jacob H. Seidman
Georgios Kissas
George J. Pappas
P. Perdikaris
DRLAI4CE
211
15
0
20 Feb 2023
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic RepresentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Rui Zhang
Qi Meng
Rongchan Zhu
Yue Wang
Wenlei Shi
Shihua Zhang
Zhi-Ming Ma
Tie-Yan Liu
DiffMAI4CE
748
13
0
10 Feb 2023
Neural Operator: Is data all you need to model the world? An insight
  into the impact of Physics Informed Machine Learning
Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning
Hrishikesh Viswanath
Md Ashiqur Rahman
Abhijeet Vyas
Andrey Shor
Beatriz Medeiros
Stephanie Hernandez
S. Prameela
Aniket Bera
PINNAI4CE
284
7
0
30 Jan 2023
Koopman neural operator as a mesh-free solver of non-linear partial
  differential equations
Koopman neural operator as a mesh-free solver of non-linear partial differential equationsJournal of Computational Physics (JCP), 2023
Wei Xiong
Xiaomeng Huang
Ziyang Zhang
Ruixuan Deng
Pei Sun
Yang Tian
AI4CE
336
52
0
24 Jan 2023
PaCMO: Partner Dependent Human Motion Generation in Dyadic Human
  Activity using Neural Operators
PaCMO: Partner Dependent Human Motion Generation in Dyadic Human Activity using Neural Operators
Md Ashiqur Rahman
Jasorsi Ghosh
Hrishikesh Viswanath
Kamyar Azizzadenesheli
Aniket Bera
178
9
0
25 Nov 2022
AdaFNIO: Adaptive Fourier Neural Interpolation Operator for video frame
  interpolation
AdaFNIO: Adaptive Fourier Neural Interpolation Operator for video frame interpolation
Hrishikesh Viswanath
Md Ashiqur Rahman
Rashmi Bhaskara
Aniket Bera
VGen
304
3
0
19 Nov 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and
  Applications
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
Zhongkai Hao
Songming Liu
Yichi Zhang
Chengyang Ying
Yao Feng
Hang Su
Jun Zhu
PINNAI4CE
359
154
0
15 Nov 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Jayesh K. Gupta
Johannes Brandstetter
AI4CE
299
183
0
30 Sep 2022
Clifford Neural Layers for PDE Modeling
Clifford Neural Layers for PDE ModelingInternational Conference on Learning Representations (ICLR), 2022
Johannes Brandstetter
Rianne van den Berg
Max Welling
Jayesh K. Gupta
AI4CE
296
111
0
08 Sep 2022
Approximate Bayesian Neural Operators: Uncertainty Quantification for
  Parametric PDEs
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs
Emilia Magnani
Nicholas Kramer
Runa Eschenhagen
Lorenzo Rosasco
Philipp Hennig
UQCVBDL
190
20
0
02 Aug 2022
Transformer for Partial Differential Equations' Operator Learning
Transformer for Partial Differential Equations' Operator Learning
Zijie Li
Kazem Meidani
A. Farimani
351
249
0
26 May 2022
Generative Adversarial Neural Operators
Generative Adversarial Neural Operators
Md Ashiqur Rahman
Manuel A. Florez
Anima Anandkumar
Zachary E. Ross
Kamyar Azizzadenesheli
GAN
311
50
0
06 May 2022
Pseudo-Differential Neural Operator: Generalized Fourier Neural Operator
  for Learning Solution Operators of Partial Differential Equations
Pseudo-Differential Neural Operator: Generalized Fourier Neural Operator for Learning Solution Operators of Partial Differential Equations
J. Shin
Jae Yong Lee
H. Hwang
283
6
0
28 Jan 2022
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