"operator learning" Papers

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Conference

AAAI 2025 (3,028)COLM 2025 (418)CVPR 2025 (2,873)ICCV 2025 (2,701)ICLR 2025 (3,827)ICML 2025 (3,340)ISMAR 2025 (229)NEURIPS 2025 (5,858)AAAI 2024 (2,289)CVPR 2024 (2,716)ECCV 2024 (2,387)ICLR 2024 (2,297)ICML 2024 (2,635)

Paper Type

poster (24,624)paper (8,558)oral (1,594)spotlight (1,421)highlight (975)

CViT: Continuous Vision Transformer for Operator Learning

Sifan Wang, Jacob Seidman, Shyam Sankaran et al.

ICLR 2025oralarXiv:2405.13998
31
citations

Improve Representation for Imbalanced Regression through Geometric Constraints

Zijian Dong, Yilei Wu, Chongyao Chen et al.

CVPR 2025arXiv:2503.00876
3
citations

Infinite Neural Operators: Gaussian processes on functions

Daniel Augusto de Souza, Yuchen Zhu, Jake Cunningham et al.

NEURIPS 2025arXiv:2510.16675
1
citations

Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems

Sung Woong Cho, Hwijae Son

ICLR 2025arXiv:2412.03161
7
citations

Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution

Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon

ICML 2024arXiv:2405.12202
9
citations

Implicit Representations via Operator Learning

Sourav Pal, Harshavardhan Adepu, Clinton Wang et al.

ICML 2024

Improved Operator Learning by Orthogonal Attention

Zipeng Xiao, Zhongkai Hao, Bokai Lin et al.

ICML 2024spotlightarXiv:2310.12487
40
citations

Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs

Seungjun Lee, TaeIL Oh

AAAI 2024paperarXiv:2312.10975
18
citations

Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning

Junfeng CHEN, Kailiang Wu

ICML 2024arXiv:2405.09285
14
citations