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. 2402.15734
  4. Cited By
Data-Efficient Operator Learning via Unsupervised Pretraining and
  In-Context Learning

Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning

24 February 2024
Wuyang Chen
Jialin Song
Pu Ren
Shashank Subramanian
Dmitriy Morozov
Michael W. Mahoney
    AI4CE
ArXivPDFHTML

Papers citing "Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning"

12 / 12 papers shown
Title
Paving the way for scientific foundation models: enhancing generalization and robustness in PDEs with constraint-aware pre-training
Paving the way for scientific foundation models: enhancing generalization and robustness in PDEs with constraint-aware pre-training
A. Totounferoush
Serge Kotchourko
Michael W. Mahoney
S.
AI4CE
34
0
0
24 Mar 2025
A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions
Elisa Negrini
Yuxuan Liu
Liu Yang
Stanley Osher
Hayden Schaeffer
AI4CE
86
0
0
09 Feb 2025
Model Balancing Helps Low-data Training and Fine-tuning
Model Balancing Helps Low-data Training and Fine-tuning
Zihang Liu
Y. Hu
Tianyu Pang
Yefan Zhou
Pu Ren
Yaoqing Yang
34
2
0
16 Oct 2024
Provable In-Context Learning of Linear Systems and Linear Elliptic PDEs
  with Transformers
Provable In-Context Learning of Linear Systems and Linear Elliptic PDEs with Transformers
Frank Cole
Yulong Lu
Riley OÑeill
Tianhao Zhang
40
2
0
18 Sep 2024
AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for
  Incompressible, Low-Speed Bluff Body Aerodynamics
AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics
Neil Ashton
Danielle C. Maddix
Samuel Gundry
Parisa M. Shabestari
AI4CE
38
2
0
30 Jul 2024
Strategies for Pretraining Neural Operators
Strategies for Pretraining Neural Operators
Anthony Y. Zhou
Cooper Lorsung
AmirPouya Hemmasian
Amir Barati Farimani
AI4CE
39
4
0
12 Jun 2024
Masked Autoencoders are PDE Learners
Masked Autoencoders are PDE Learners
Anthony Y. Zhou
A. Farimani
AI4CE
38
5
0
26 Mar 2024
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
Bohao Peng
Zhuotao Tian
Xiaoyang Wu
Chenyao Wang
Shu Liu
Jingyong Su
Jiaya Jia
45
71
0
26 Mar 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
Enhancing Computational Fluid Dynamics with Machine Learning
Enhancing Computational Fluid Dynamics with Machine Learning
Ricardo Vinuesa
Steven L. Brunton
AI4CE
106
355
0
05 Oct 2021
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
203
2,282
0
18 Oct 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
1