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DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training.

Z. Hao, C. Su, S. Liu, J. Berner, C. Ying, H. Su, A. Anandkumar, J. Song, and J. Zhu. ICML, OpenReview.net, (2024)

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Songming Ying

Liu Liu

Dongmei Liu

Other publications of authors with the same name

GNOT: A General Neural Operator Transformer for Operator Learning.Z. Hao, Z. Wang, H. Su, C. Ying, Y. Dong, S. Liu, Z. Cheng, J. Song, and J. Zhu. ICML, volume 202 of Proceedings of Machine Learning Research, page 12556-12569. PMLR, (2023)Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations.Z. Cheng, Z. Hao, X. Wang, J. Huang, Y. Wu, X. Liu, Y. Zhao, S. Liu, and H. Su. ICML, OpenReview.net, (2024)MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks.J. Yao, C. Su, Z. Hao, S. Liu, H. Su, and J. Zhu. ICML, volume 202 of Proceedings of Machine Learning Research, page 39702-39721. PMLR, (2023)Arterial Traffic Optimization Algorithm Based on Deep Reinforcement Learning and Green Wave Coordination Control in Complex Lane Queuing Conditions.T. Wang, S. Liu, L. Chen, M. Ouyang, S. Gao, and Y. Zhang. ChineseCSCW (2), volume 2013 of Communications in Computer and Information Science, page 406-421. Springer, (2023)Vessel Traffic Flow Prediction and Analysis Based on Ship Big Data.T. Wang, X. Gai, S. Liu, S. Gao, M. Ouyang, and L. Chen. ChineseCSCW (1), volume 2012 of Communications in Computer and Information Science, page 222-239. Springer, (2023)Preconditioning for Physics-Informed Neural Networks.S. Liu, C. Su, J. Yao, Z. Hao, H. Su, Y. Wu, and J. Zhu. CoRR, (2024)Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning.H. Tan, S. Liu, K. Ma, C. Ying, X. Zhang, H. Su, and J. Zhu. ICML, OpenReview.net, (2024)NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data.S. Liu, Z. Hao, C. Ying, H. Su, Z. Cheng, and J. Zhu. ICML, volume 202 of Proceedings of Machine Learning Research, page 21658-21671. PMLR, (2023)DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training.Z. Hao, C. Su, S. Liu, J. Berner, C. Ying, H. Su, A. Anandkumar, J. Song, and J. Zhu. ICML, OpenReview.net, (2024)A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs.S. Liu, Z. Hao, C. Ying, H. Su, J. Zhu, and Z. Cheng. NeurIPS, (2022)

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Disambiguation of "Liu, Songming"

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DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training.

Please choose a person to relate this publication to

Songming Ying

Liu Liu

Liu Liu

Liu Liu

Dongmei Liu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Liu, Songming"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training.

Please choose a person to relate this publication to

Songming Ying

Liu Liu

Liu Liu

Liu Liu

Dongmei Liu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training.